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You searched for subject:(Back propagation). Showing records 1 – 30 of 97 total matches.

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Louisiana State University

1. Swargam, Nagajyothi. Development of a neural network approach for the assessment of the performance of traffic sign retroreflectivity.

Degree: MSCE, Civil and Environmental Engineering, 2004, Louisiana State University

 The goal of the research was to develop a new predictive tool for assessing the performance of traffic sign retroreflectivity and to compare the developed… (more)

Subjects/Keywords: back propagation

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APA (6th Edition):

Swargam, N. (2004). Development of a neural network approach for the assessment of the performance of traffic sign retroreflectivity. (Masters Thesis). Louisiana State University. Retrieved from etd-11122004-071142 ; https://digitalcommons.lsu.edu/gradschool_theses/440

Chicago Manual of Style (16th Edition):

Swargam, Nagajyothi. “Development of a neural network approach for the assessment of the performance of traffic sign retroreflectivity.” 2004. Masters Thesis, Louisiana State University. Accessed April 04, 2020. etd-11122004-071142 ; https://digitalcommons.lsu.edu/gradschool_theses/440.

MLA Handbook (7th Edition):

Swargam, Nagajyothi. “Development of a neural network approach for the assessment of the performance of traffic sign retroreflectivity.” 2004. Web. 04 Apr 2020.

Vancouver:

Swargam N. Development of a neural network approach for the assessment of the performance of traffic sign retroreflectivity. [Internet] [Masters thesis]. Louisiana State University; 2004. [cited 2020 Apr 04]. Available from: etd-11122004-071142 ; https://digitalcommons.lsu.edu/gradschool_theses/440.

Council of Science Editors:

Swargam N. Development of a neural network approach for the assessment of the performance of traffic sign retroreflectivity. [Masters Thesis]. Louisiana State University; 2004. Available from: etd-11122004-071142 ; https://digitalcommons.lsu.edu/gradschool_theses/440


Vilnius Pedagogical University

2. Sargelis, Kęstas. Klaidos skleidimo atgal algoritmo tyrimai.

Degree: Master, Informatics, 2009, Vilnius Pedagogical University

Šiame darbe detaliai išanalizuotas klaidos skleidimo atgal algoritmas, atlikti tyrimai. Išsamiai analizuota neuroninių tinklų teorija. Algoritmui taikyti ir analizuoti sistemoje Visual Studio Web Developer 2008… (more)

Subjects/Keywords: Klaida; Sklidimas; Algoritmas; Back-propagation; Algorithm; Error

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APA (6th Edition):

Sargelis, Kęstas. (2009). Klaidos skleidimo atgal algoritmo tyrimai. (Masters Thesis). Vilnius Pedagogical University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2009~D_20090630_094557-88383 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Sargelis, Kęstas. “Klaidos skleidimo atgal algoritmo tyrimai.” 2009. Masters Thesis, Vilnius Pedagogical University. Accessed April 04, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2009~D_20090630_094557-88383 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Sargelis, Kęstas. “Klaidos skleidimo atgal algoritmo tyrimai.” 2009. Web. 04 Apr 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Sargelis, Kęstas. Klaidos skleidimo atgal algoritmo tyrimai. [Internet] [Masters thesis]. Vilnius Pedagogical University; 2009. [cited 2020 Apr 04]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2009~D_20090630_094557-88383 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Sargelis, Kęstas. Klaidos skleidimo atgal algoritmo tyrimai. [Masters Thesis]. Vilnius Pedagogical University; 2009. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2009~D_20090630_094557-88383 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Brno University of Technology

3. Kaňa, Ondřej. Neuronové sítě v algoritmech vodoznačení audio signálů .

Degree: 2010, Brno University of Technology

 Digitální vodoznačení dat je jednou z technik, která se zabývá ochranou digitálních dat. Při návrhu systému vodoznačení je kladen důraz hlavně na robustnost a neslyšitelnost… (more)

Subjects/Keywords: vodoznačení; vodoznak; neuronová síť; Back-propagation; psychoakustický model; dct; watermarking; watermark; neural network; Back-propagation; psychoacoustic model; dct

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APA (6th Edition):

Kaňa, O. (2010). Neuronové sítě v algoritmech vodoznačení audio signálů . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/11106

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kaňa, Ondřej. “Neuronové sítě v algoritmech vodoznačení audio signálů .” 2010. Thesis, Brno University of Technology. Accessed April 04, 2020. http://hdl.handle.net/11012/11106.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kaňa, Ondřej. “Neuronové sítě v algoritmech vodoznačení audio signálů .” 2010. Web. 04 Apr 2020.

Vancouver:

Kaňa O. Neuronové sítě v algoritmech vodoznačení audio signálů . [Internet] [Thesis]. Brno University of Technology; 2010. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/11012/11106.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kaňa O. Neuronové sítě v algoritmech vodoznačení audio signálů . [Thesis]. Brno University of Technology; 2010. Available from: http://hdl.handle.net/11012/11106

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

4. Borkovec, Tomáš. Neuronové sítě v kryptografii .

Degree: 2013, Brno University of Technology

 Bakalářská práce si klade za cíl představit neuronové sítě a jejich vlastnosti, které lze využít pro tvorbu kryptografických protokolů založených na neuronových sítích. Předkládá konkrétní… (more)

Subjects/Keywords: Neuronové sítě; back-propagation; kryptografie; neuronové sítě v kryptografii; hašovací funkce; Neural network; back – propagation; cryptography; neural cryptography; hash function

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APA (6th Edition):

Borkovec, T. (2013). Neuronové sítě v kryptografii . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/28187

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Borkovec, Tomáš. “Neuronové sítě v kryptografii .” 2013. Thesis, Brno University of Technology. Accessed April 04, 2020. http://hdl.handle.net/11012/28187.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Borkovec, Tomáš. “Neuronové sítě v kryptografii .” 2013. Web. 04 Apr 2020.

Vancouver:

Borkovec T. Neuronové sítě v kryptografii . [Internet] [Thesis]. Brno University of Technology; 2013. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/11012/28187.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Borkovec T. Neuronové sítě v kryptografii . [Thesis]. Brno University of Technology; 2013. Available from: http://hdl.handle.net/11012/28187

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

5. Kaňa, Ondřej. Neuronové sítě v algoritmech vodoznačení audio signálů .

Degree: 2010, Brno University of Technology

 Digitální vodoznačení dat je jednou z technik, která se zabývá ochranou digitálních dat. Při návrhu systému vodoznačení je kladen důraz hlavně na robustnost a neslyšitelnost… (more)

Subjects/Keywords: vodoznačení; vodoznak; neuronová síť; Back-propagation; psychoakustický model; dct; watermarking; watermark; neural network; Back-propagation; psychoacoustic model; dct

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kaňa, O. (2010). Neuronové sítě v algoritmech vodoznačení audio signálů . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/20969

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kaňa, Ondřej. “Neuronové sítě v algoritmech vodoznačení audio signálů .” 2010. Thesis, Brno University of Technology. Accessed April 04, 2020. http://hdl.handle.net/11012/20969.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kaňa, Ondřej. “Neuronové sítě v algoritmech vodoznačení audio signálů .” 2010. Web. 04 Apr 2020.

Vancouver:

Kaňa O. Neuronové sítě v algoritmech vodoznačení audio signálů . [Internet] [Thesis]. Brno University of Technology; 2010. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/11012/20969.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kaňa O. Neuronové sítě v algoritmech vodoznačení audio signálů . [Thesis]. Brno University of Technology; 2010. Available from: http://hdl.handle.net/11012/20969

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

6. Lavický, Vojtěch. Využití umělé inteligence v kryptografii .

Degree: 2012, Brno University of Technology

 Cílem práce je se seznámit se s problematikou neuronových sítí a používaných bezpečnostních protokolů v kryptografii. Teoretická práce se zabývá rozborem neuronových sítí s přihlédnutím… (more)

Subjects/Keywords: neuron; perceptron; neuronová síť; Back-propagation; kryptografie; MATLAB; SIMULINK; neuron; perceptron; neural network; Back-propagation; cryptography; MATLAB; SIMULINK

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lavický, V. (2012). Využití umělé inteligence v kryptografii . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/11105

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lavický, Vojtěch. “Využití umělé inteligence v kryptografii .” 2012. Thesis, Brno University of Technology. Accessed April 04, 2020. http://hdl.handle.net/11012/11105.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lavický, Vojtěch. “Využití umělé inteligence v kryptografii .” 2012. Web. 04 Apr 2020.

Vancouver:

Lavický V. Využití umělé inteligence v kryptografii . [Internet] [Thesis]. Brno University of Technology; 2012. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/11012/11105.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lavický V. Využití umělé inteligence v kryptografii . [Thesis]. Brno University of Technology; 2012. Available from: http://hdl.handle.net/11012/11105

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rochester Institute of Technology

7. Wehry, Stephen. Monte Carlo comparison of back-propagation, conjugate-gradient, and finite-difference training algorithms for multilayer perceptrons.

Degree: School of Mathematical Sciences (COS), 2011, Rochester Institute of Technology

 Monte Carlo Simulation is used to compare the performance of the Back-Propagation, Conjugate-Gradient, and Finite-Difference algorithms when training simple Multilayer Perceptron networks to solve pattern… (more)

Subjects/Keywords: Back-propagation; Conjugate-gradient; Monte Carlo; Neural network; Training algorithm

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APA (6th Edition):

Wehry, S. (2011). Monte Carlo comparison of back-propagation, conjugate-gradient, and finite-difference training algorithms for multilayer perceptrons. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/223

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wehry, Stephen. “Monte Carlo comparison of back-propagation, conjugate-gradient, and finite-difference training algorithms for multilayer perceptrons.” 2011. Thesis, Rochester Institute of Technology. Accessed April 04, 2020. https://scholarworks.rit.edu/theses/223.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wehry, Stephen. “Monte Carlo comparison of back-propagation, conjugate-gradient, and finite-difference training algorithms for multilayer perceptrons.” 2011. Web. 04 Apr 2020.

Vancouver:

Wehry S. Monte Carlo comparison of back-propagation, conjugate-gradient, and finite-difference training algorithms for multilayer perceptrons. [Internet] [Thesis]. Rochester Institute of Technology; 2011. [cited 2020 Apr 04]. Available from: https://scholarworks.rit.edu/theses/223.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wehry S. Monte Carlo comparison of back-propagation, conjugate-gradient, and finite-difference training algorithms for multilayer perceptrons. [Thesis]. Rochester Institute of Technology; 2011. Available from: https://scholarworks.rit.edu/theses/223

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

8. Tsai, Ying-Wei. Performance Evaluation of Identification Methods for the Stress Calls of Squirrelfishesï¼Pisces:Holocentridaeï¼.

Degree: Master, Undersea Technology, 2008, NSYSU

 In the study of sound identification, land animals such as birds and bats have been well investigated, and so are their habitats. On the other… (more)

Subjects/Keywords: Stepwise Discriminant; Analysis of Variance; Kolmogorov-Smirnov Test; Holocendridae; Back-propagation

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APA (6th Edition):

Tsai, Y. (2008). Performance Evaluation of Identification Methods for the Stress Calls of Squirrelfishesï¼Pisces:Holocentridaeï¼. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0125108-162908

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tsai, Ying-Wei. “Performance Evaluation of Identification Methods for the Stress Calls of Squirrelfishesï¼Pisces:Holocentridaeï¼.” 2008. Thesis, NSYSU. Accessed April 04, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0125108-162908.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tsai, Ying-Wei. “Performance Evaluation of Identification Methods for the Stress Calls of Squirrelfishesï¼Pisces:Holocentridaeï¼.” 2008. Web. 04 Apr 2020.

Vancouver:

Tsai Y. Performance Evaluation of Identification Methods for the Stress Calls of Squirrelfishesï¼Pisces:Holocentridaeï¼. [Internet] [Thesis]. NSYSU; 2008. [cited 2020 Apr 04]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0125108-162908.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tsai Y. Performance Evaluation of Identification Methods for the Stress Calls of Squirrelfishesï¼Pisces:Holocentridaeï¼. [Thesis]. NSYSU; 2008. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0125108-162908

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Georgia Tech

9. Ramachandran, Adithya. HEV fuel optimization using interval back propagation based dynamic programming.

Degree: MS, Mechanical Engineering, 2016, Georgia Tech

 In this thesis, the primary powertrain components of a power split hybrid electric vehicle are modeled. In particular, the dynamic model of the energy storage… (more)

Subjects/Keywords: HEV; Dynamic programming; Interval back propagation; Optimization; Convexity; Real time implementation

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APA (6th Edition):

Ramachandran, A. (2016). HEV fuel optimization using interval back propagation based dynamic programming. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55054

Chicago Manual of Style (16th Edition):

Ramachandran, Adithya. “HEV fuel optimization using interval back propagation based dynamic programming.” 2016. Masters Thesis, Georgia Tech. Accessed April 04, 2020. http://hdl.handle.net/1853/55054.

MLA Handbook (7th Edition):

Ramachandran, Adithya. “HEV fuel optimization using interval back propagation based dynamic programming.” 2016. Web. 04 Apr 2020.

Vancouver:

Ramachandran A. HEV fuel optimization using interval back propagation based dynamic programming. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/1853/55054.

Council of Science Editors:

Ramachandran A. HEV fuel optimization using interval back propagation based dynamic programming. [Masters Thesis]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55054


Brno University of Technology

10. Nagyová, Lenka. Aplikace neuronových sítí ve zpracování obrazu .

Degree: 2014, Brno University of Technology

 Tato práce se věnuje teorii umělých neuronových sítí: historii, jednotlivým způsobům učení a architektuře sítí. Dále je nezbytné popsat bloky zpracování obrazu od snímání a… (more)

Subjects/Keywords: Umělé neuronové sítě; zpracování obrazu; identifikace objektů; back propagation; rozpoznávání znaků; OpenCV; C/C++; Artificial neural networks; image processing; objects identification; back propagation; character recognition; OpenCV; C/C++

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APA (6th Edition):

Nagyová, L. (2014). Aplikace neuronových sítí ve zpracování obrazu . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/31534

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nagyová, Lenka. “Aplikace neuronových sítí ve zpracování obrazu .” 2014. Thesis, Brno University of Technology. Accessed April 04, 2020. http://hdl.handle.net/11012/31534.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nagyová, Lenka. “Aplikace neuronových sítí ve zpracování obrazu .” 2014. Web. 04 Apr 2020.

Vancouver:

Nagyová L. Aplikace neuronových sítí ve zpracování obrazu . [Internet] [Thesis]. Brno University of Technology; 2014. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/11012/31534.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nagyová L. Aplikace neuronových sítí ve zpracování obrazu . [Thesis]. Brno University of Technology; 2014. Available from: http://hdl.handle.net/11012/31534

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

11. Sulaiman, David. Počítačem řízený hráč hry Blokus založený na metodách umělé inteligence .

Degree: 2010, Brno University of Technology

 Tato práce se zabývá porovnáváním dopředných neuronových sítí s algoritmy teorie her pomocí deskové hry Blokus. V teoretickém úvodu jsou popsány vlastnosti neuronových sítí a~práce… (more)

Subjects/Keywords: Blokus; teorie her; zpětná indukce; perceptron; neuronová síť; back propagation; Java; Swing; Blokus game; game theory; backward induction; perceptron; neural network; back propagation; Java; Swing

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APA (6th Edition):

Sulaiman, D. (2010). Počítačem řízený hráč hry Blokus založený na metodách umělé inteligence . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54382

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sulaiman, David. “Počítačem řízený hráč hry Blokus založený na metodách umělé inteligence .” 2010. Thesis, Brno University of Technology. Accessed April 04, 2020. http://hdl.handle.net/11012/54382.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sulaiman, David. “Počítačem řízený hráč hry Blokus založený na metodách umělé inteligence .” 2010. Web. 04 Apr 2020.

Vancouver:

Sulaiman D. Počítačem řízený hráč hry Blokus založený na metodách umělé inteligence . [Internet] [Thesis]. Brno University of Technology; 2010. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/11012/54382.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sulaiman D. Počítačem řízený hráč hry Blokus založený na metodách umělé inteligence . [Thesis]. Brno University of Technology; 2010. Available from: http://hdl.handle.net/11012/54382

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

12. Palani S. Experimental investigation of quality characteristics in macro and micro machining processes using intelligent techniques;.

Degree: Quality characteristics in macro and micro machining processes, 2014, Anna University

The technological advances with the ever-growing use of computer newlinecontrolled machine tools which are integrated with machine vision newlinesystem(MVS), have brought up new issues to… (more)

Subjects/Keywords: Back-propagation; Differential evolution algorithm; Machine vision system; Macro machining; Mechanical Engineering; Micro machining

Page 1

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

S, P. (2014). Experimental investigation of quality characteristics in macro and micro machining processes using intelligent techniques;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/17391

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

S, Palani. “Experimental investigation of quality characteristics in macro and micro machining processes using intelligent techniques;.” 2014. Thesis, Anna University. Accessed April 04, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/17391.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

S, Palani. “Experimental investigation of quality characteristics in macro and micro machining processes using intelligent techniques;.” 2014. Web. 04 Apr 2020.

Vancouver:

S P. Experimental investigation of quality characteristics in macro and micro machining processes using intelligent techniques;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Apr 04]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/17391.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

S P. Experimental investigation of quality characteristics in macro and micro machining processes using intelligent techniques;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/17391

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

13. Jayasankar V. Neural network based monitoring and genetic algorithm based enhancement of voltage stability;.

Degree: 2013, Anna University

Voltage stability assessment and improvement form the core function in a modern power system operation and control. The voltage stability can be identified through various… (more)

Subjects/Keywords: Neural network; genetic algorithm; Thyristor Controlled Series Capacitor; Forward Back Propagation Network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

V, J. (2013). Neural network based monitoring and genetic algorithm based enhancement of voltage stability;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/10251

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

V, Jayasankar. “Neural network based monitoring and genetic algorithm based enhancement of voltage stability;.” 2013. Thesis, Anna University. Accessed April 04, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/10251.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

V, Jayasankar. “Neural network based monitoring and genetic algorithm based enhancement of voltage stability;.” 2013. Web. 04 Apr 2020.

Vancouver:

V J. Neural network based monitoring and genetic algorithm based enhancement of voltage stability;. [Internet] [Thesis]. Anna University; 2013. [cited 2020 Apr 04]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/10251.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

V J. Neural network based monitoring and genetic algorithm based enhancement of voltage stability;. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/10251

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

14. Ravikumar G. Compiler directed disk seek algorithm for power optimization in large disk based system using soft computing techniques;.

Degree: Disk-seek algorithm for power optimization in large disk based system using soft computing techniques, 2014, Anna University

The recent developments and an extensive growth of applications viz Internet based servers interactive television video conferencing etc require large volume of multidimensional data stored… (more)

Subjects/Keywords: Back Propagation Neural Network; Disk-seek algorithm; Information and communication engineering; Levenberg Morquardt algorithm

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APA (6th Edition):

G, R. (2014). Compiler directed disk seek algorithm for power optimization in large disk based system using soft computing techniques;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/24188

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

G, Ravikumar. “Compiler directed disk seek algorithm for power optimization in large disk based system using soft computing techniques;.” 2014. Thesis, Anna University. Accessed April 04, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/24188.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

G, Ravikumar. “Compiler directed disk seek algorithm for power optimization in large disk based system using soft computing techniques;.” 2014. Web. 04 Apr 2020.

Vancouver:

G R. Compiler directed disk seek algorithm for power optimization in large disk based system using soft computing techniques;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Apr 04]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24188.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

G R. Compiler directed disk seek algorithm for power optimization in large disk based system using soft computing techniques;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24188

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Addis Ababa University

15. Sewnet, Getnet. Predictive Modelling of kaliti Wastewater Treatment Plant Performance Using Artificial Neural Networks .

Degree: 2012, Addis Ababa University

 Artificial neural networks are a form of artificial intelligence that have the capability of learning, growing, and adapting within dynamic environments. A reliable model for… (more)

Subjects/Keywords: Artificial neural networks; Back propagation; Genetic algorithm; Partial mutual information; Wastewater treatment

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APA (6th Edition):

Sewnet, G. (2012). Predictive Modelling of kaliti Wastewater Treatment Plant Performance Using Artificial Neural Networks . (Thesis). Addis Ababa University. Retrieved from http://etd.aau.edu.et/dspace/handle/123456789/4654

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sewnet, Getnet. “Predictive Modelling of kaliti Wastewater Treatment Plant Performance Using Artificial Neural Networks .” 2012. Thesis, Addis Ababa University. Accessed April 04, 2020. http://etd.aau.edu.et/dspace/handle/123456789/4654.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sewnet, Getnet. “Predictive Modelling of kaliti Wastewater Treatment Plant Performance Using Artificial Neural Networks .” 2012. Web. 04 Apr 2020.

Vancouver:

Sewnet G. Predictive Modelling of kaliti Wastewater Treatment Plant Performance Using Artificial Neural Networks . [Internet] [Thesis]. Addis Ababa University; 2012. [cited 2020 Apr 04]. Available from: http://etd.aau.edu.et/dspace/handle/123456789/4654.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sewnet G. Predictive Modelling of kaliti Wastewater Treatment Plant Performance Using Artificial Neural Networks . [Thesis]. Addis Ababa University; 2012. Available from: http://etd.aau.edu.et/dspace/handle/123456789/4654

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Addis Ababa University

16. Sewnet, Getnet. PREDICTIVE MODELLING OF KALITI WASTEWATER TREATMENT PLANT PERFORMANCE USING ARTIFICIAL NEURAL NETWORKS .

Degree: 2012, Addis Ababa University

 Artificial neural networks are a form of artificial intelligence that have the capability of learning, growing, and adapting within dynamic environments. A reliable model for… (more)

Subjects/Keywords: Artificial neural networks; Back propagation; Genetic algorithm; Partial mutual information; Wastewater treatment

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APA (6th Edition):

Sewnet, G. (2012). PREDICTIVE MODELLING OF KALITI WASTEWATER TREATMENT PLANT PERFORMANCE USING ARTIFICIAL NEURAL NETWORKS . (Thesis). Addis Ababa University. Retrieved from http://etd.aau.edu.et/dspace/handle/123456789/3955

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sewnet, Getnet. “PREDICTIVE MODELLING OF KALITI WASTEWATER TREATMENT PLANT PERFORMANCE USING ARTIFICIAL NEURAL NETWORKS .” 2012. Thesis, Addis Ababa University. Accessed April 04, 2020. http://etd.aau.edu.et/dspace/handle/123456789/3955.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sewnet, Getnet. “PREDICTIVE MODELLING OF KALITI WASTEWATER TREATMENT PLANT PERFORMANCE USING ARTIFICIAL NEURAL NETWORKS .” 2012. Web. 04 Apr 2020.

Vancouver:

Sewnet G. PREDICTIVE MODELLING OF KALITI WASTEWATER TREATMENT PLANT PERFORMANCE USING ARTIFICIAL NEURAL NETWORKS . [Internet] [Thesis]. Addis Ababa University; 2012. [cited 2020 Apr 04]. Available from: http://etd.aau.edu.et/dspace/handle/123456789/3955.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sewnet G. PREDICTIVE MODELLING OF KALITI WASTEWATER TREATMENT PLANT PERFORMANCE USING ARTIFICIAL NEURAL NETWORKS . [Thesis]. Addis Ababa University; 2012. Available from: http://etd.aau.edu.et/dspace/handle/123456789/3955

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Nairobi

17. Mbirika, Douglas H. A type-2 diabetes early warning system using particle swarm optimized artificial neural networks: a case of trans Nzoia county of Kenya .

Degree: 2014, University of Nairobi

 This research aimed at developing an early warning system for pre-diabetic and diabetics by analyzing simple and easily determinable signs and symptoms of diabetes among… (more)

Subjects/Keywords: Artificial Neural Networks; Particle Swarm Optimization; Back Propagation Algorithm; Type 2 Diabetes

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mbirika, D. H. (2014). A type-2 diabetes early warning system using particle swarm optimized artificial neural networks: a case of trans Nzoia county of Kenya . (Thesis). University of Nairobi. Retrieved from http://hdl.handle.net/11295/76655

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mbirika, Douglas H. “A type-2 diabetes early warning system using particle swarm optimized artificial neural networks: a case of trans Nzoia county of Kenya .” 2014. Thesis, University of Nairobi. Accessed April 04, 2020. http://hdl.handle.net/11295/76655.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mbirika, Douglas H. “A type-2 diabetes early warning system using particle swarm optimized artificial neural networks: a case of trans Nzoia county of Kenya .” 2014. Web. 04 Apr 2020.

Vancouver:

Mbirika DH. A type-2 diabetes early warning system using particle swarm optimized artificial neural networks: a case of trans Nzoia county of Kenya . [Internet] [Thesis]. University of Nairobi; 2014. [cited 2020 Apr 04]. Available from: http://hdl.handle.net/11295/76655.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mbirika DH. A type-2 diabetes early warning system using particle swarm optimized artificial neural networks: a case of trans Nzoia county of Kenya . [Thesis]. University of Nairobi; 2014. Available from: http://hdl.handle.net/11295/76655

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

18. Xu, Deng-Xiang. Analysis of Nitrosamine formation from Pharmaceuticals and Personal Care Products during two-stage chlorination using Back-Propagation Neural Network.

Degree: Master, Environmental Engineering, 2016, NSYSU

 Pharmaceuticals and personal care products (PPCPs), which are commonly abused in human activities and less effectively treated by conventional wastewater treatment technologies, are often found… (more)

Subjects/Keywords: Chlorination; Back-propagation neural network; Pre-oxidation; Drinking water treatment; N-Nitrosodimethylamine; Nitrogenous disinfection byproduct

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APA (6th Edition):

Xu, D. (2016). Analysis of Nitrosamine formation from Pharmaceuticals and Personal Care Products during two-stage chlorination using Back-Propagation Neural Network. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0701116-115902

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Xu, Deng-Xiang. “Analysis of Nitrosamine formation from Pharmaceuticals and Personal Care Products during two-stage chlorination using Back-Propagation Neural Network.” 2016. Thesis, NSYSU. Accessed April 04, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0701116-115902.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Xu, Deng-Xiang. “Analysis of Nitrosamine formation from Pharmaceuticals and Personal Care Products during two-stage chlorination using Back-Propagation Neural Network.” 2016. Web. 04 Apr 2020.

Vancouver:

Xu D. Analysis of Nitrosamine formation from Pharmaceuticals and Personal Care Products during two-stage chlorination using Back-Propagation Neural Network. [Internet] [Thesis]. NSYSU; 2016. [cited 2020 Apr 04]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0701116-115902.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xu D. Analysis of Nitrosamine formation from Pharmaceuticals and Personal Care Products during two-stage chlorination using Back-Propagation Neural Network. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0701116-115902

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

19. Wang, Ting-yen. Automatic Passenger Counting System Design for Bus Using Image Processing Techniques.

Degree: Master, Mechanical and Electro-Mechanical Engineering, 2016, NSYSU

 This paper to design an adaptive passenger counting system is applied to the public transportation vehicle: bus. The system combines Global Positioning System (GPS) and… (more)

Subjects/Keywords: back propagation neural network; people detection; people counting; K-means cluster; background subtraction; object tracking

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, T. (2016). Automatic Passenger Counting System Design for Bus Using Image Processing Techniques. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0307116-213744

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Ting-yen. “Automatic Passenger Counting System Design for Bus Using Image Processing Techniques.” 2016. Thesis, NSYSU. Accessed April 04, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0307116-213744.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Ting-yen. “Automatic Passenger Counting System Design for Bus Using Image Processing Techniques.” 2016. Web. 04 Apr 2020.

Vancouver:

Wang T. Automatic Passenger Counting System Design for Bus Using Image Processing Techniques. [Internet] [Thesis]. NSYSU; 2016. [cited 2020 Apr 04]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0307116-213744.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang T. Automatic Passenger Counting System Design for Bus Using Image Processing Techniques. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0307116-213744

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

20. Yeh, Huai-Jen. Application of Neural Network on the Recognition of Acoustic Signal for Engine.

Degree: Master, Physics, 2003, NSYSU

 Abstract The traditional fault inspection of the motorcar engine cannot detect the noise and sound signal resulted from the abnormalities of some mechanical parts. For… (more)

Subjects/Keywords: Acoustic Signal; Back Propagation Neural Network

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APA (6th Edition):

Yeh, H. (2003). Application of Neural Network on the Recognition of Acoustic Signal for Engine. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0218103-113321

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yeh, Huai-Jen. “Application of Neural Network on the Recognition of Acoustic Signal for Engine.” 2003. Thesis, NSYSU. Accessed April 04, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0218103-113321.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yeh, Huai-Jen. “Application of Neural Network on the Recognition of Acoustic Signal for Engine.” 2003. Web. 04 Apr 2020.

Vancouver:

Yeh H. Application of Neural Network on the Recognition of Acoustic Signal for Engine. [Internet] [Thesis]. NSYSU; 2003. [cited 2020 Apr 04]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0218103-113321.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yeh H. Application of Neural Network on the Recognition of Acoustic Signal for Engine. [Thesis]. NSYSU; 2003. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0218103-113321

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

21. Hsu, Ya-wen. Development of an Intelligent Pedestrian Fall Detection System Based on Machine Vision.

Degree: Master, Mechanical and Electro-Mechanical Engineering, 2015, NSYSU

 Statistics shows that inpatients or residents of long-term care facilities may fall from daily activities. Most of these falls are associated with identifiable risk factors… (more)

Subjects/Keywords: Adaptive boosting algorithm (AdaBoost); Back Propagation Neural Network (BPNN); learning algorithm; fall detection; machine vision

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APA (6th Edition):

Hsu, Y. (2015). Development of an Intelligent Pedestrian Fall Detection System Based on Machine Vision. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808115-035539

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hsu, Ya-wen. “Development of an Intelligent Pedestrian Fall Detection System Based on Machine Vision.” 2015. Thesis, NSYSU. Accessed April 04, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808115-035539.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hsu, Ya-wen. “Development of an Intelligent Pedestrian Fall Detection System Based on Machine Vision.” 2015. Web. 04 Apr 2020.

Vancouver:

Hsu Y. Development of an Intelligent Pedestrian Fall Detection System Based on Machine Vision. [Internet] [Thesis]. NSYSU; 2015. [cited 2020 Apr 04]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808115-035539.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hsu Y. Development of an Intelligent Pedestrian Fall Detection System Based on Machine Vision. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808115-035539

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Guelph

22. Cheung, Edwin H. Equine Gait Data Analysis using Signal Transforms as a Preprocessor to Back Propagation Networks .

Degree: 2014, University of Guelph

 This thesis examines using Back Propagation network in the analysis of equine gait data. Back Propagation networks are capable of classifying non-linear data sets, but… (more)

Subjects/Keywords: Equine Gait; Neural Network; Fourier Transform; Gait Analysis; Signal Transform; Wavelet Transform; Back Propagation

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APA (6th Edition):

Cheung, E. H. (2014). Equine Gait Data Analysis using Signal Transforms as a Preprocessor to Back Propagation Networks . (Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8150

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Cheung, Edwin H. “Equine Gait Data Analysis using Signal Transforms as a Preprocessor to Back Propagation Networks .” 2014. Thesis, University of Guelph. Accessed April 04, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8150.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Cheung, Edwin H. “Equine Gait Data Analysis using Signal Transforms as a Preprocessor to Back Propagation Networks .” 2014. Web. 04 Apr 2020.

Vancouver:

Cheung EH. Equine Gait Data Analysis using Signal Transforms as a Preprocessor to Back Propagation Networks . [Internet] [Thesis]. University of Guelph; 2014. [cited 2020 Apr 04]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8150.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cheung EH. Equine Gait Data Analysis using Signal Transforms as a Preprocessor to Back Propagation Networks . [Thesis]. University of Guelph; 2014. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8150

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

23. Guan, Xing. Predict Next Location of Users using Deep Learning.

Degree: Electrical Engineering and Computer Science (EECS), 2019, KTH

Predicting the next location of a user has been interesting for both academia and industry. Applications like location-based advertising, traffic planning, intelligent resource allocation… (more)

Subjects/Keywords: Back-Propagation Algorithm; Neural Network; GRU; Recurrent; Computer and Information Sciences; Data- och informationsvetenskap

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Guan, X. (2019). Predict Next Location of Users using Deep Learning. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263620

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Guan, Xing. “Predict Next Location of Users using Deep Learning.” 2019. Thesis, KTH. Accessed April 04, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263620.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Guan, Xing. “Predict Next Location of Users using Deep Learning.” 2019. Web. 04 Apr 2020.

Vancouver:

Guan X. Predict Next Location of Users using Deep Learning. [Internet] [Thesis]. KTH; 2019. [cited 2020 Apr 04]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263620.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Guan X. Predict Next Location of Users using Deep Learning. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263620

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Commonwealth University

24. Albarakati, Noor. FAST NEURAL NETWORK ALGORITHM FOR SOLVING CLASSIFICATION TASKS.

Degree: MS, Computer Science, 2012, Virginia Commonwealth University

 Classification is one-out-of several applications in the neural network (NN) world. Multilayer perceptron (MLP) is the common neural network architecture which is used for classification… (more)

Subjects/Keywords: Classification; Error Back Propagation; Multilayer Perceptron; Neural Network; Computer Sciences; Physical Sciences and Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Albarakati, N. (2012). FAST NEURAL NETWORK ALGORITHM FOR SOLVING CLASSIFICATION TASKS. (Thesis). Virginia Commonwealth University. Retrieved from https://doi.org/10.25772/F3ZW-P786 ; https://scholarscompass.vcu.edu/etd/2740

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Albarakati, Noor. “FAST NEURAL NETWORK ALGORITHM FOR SOLVING CLASSIFICATION TASKS.” 2012. Thesis, Virginia Commonwealth University. Accessed April 04, 2020. https://doi.org/10.25772/F3ZW-P786 ; https://scholarscompass.vcu.edu/etd/2740.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Albarakati, Noor. “FAST NEURAL NETWORK ALGORITHM FOR SOLVING CLASSIFICATION TASKS.” 2012. Web. 04 Apr 2020.

Vancouver:

Albarakati N. FAST NEURAL NETWORK ALGORITHM FOR SOLVING CLASSIFICATION TASKS. [Internet] [Thesis]. Virginia Commonwealth University; 2012. [cited 2020 Apr 04]. Available from: https://doi.org/10.25772/F3ZW-P786 ; https://scholarscompass.vcu.edu/etd/2740.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Albarakati N. FAST NEURAL NETWORK ALGORITHM FOR SOLVING CLASSIFICATION TASKS. [Thesis]. Virginia Commonwealth University; 2012. Available from: https://doi.org/10.25772/F3ZW-P786 ; https://scholarscompass.vcu.edu/etd/2740

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

25. Sathiyasekar K. Predicting the insulation status of High voltage rotating machines Using intelligent techniques;.

Degree: Predicting the insulation status of High voltage rotating machines Using intelligent techniques, 2014, Anna University

High voltage rotating machines are widely used in the power newlineStations sugar mills steel mills cement mills etc Insulation is an essential newlinecomponent for proper… (more)

Subjects/Keywords: Adaptive Neuro Fuzzy Inference System; Back Propagation Neural; Fuzzy logic approach; High voltage rotating machines; Proportional Integral and Derivative

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

K, S. (2014). Predicting the insulation status of High voltage rotating machines Using intelligent techniques;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28422

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

K, Sathiyasekar. “Predicting the insulation status of High voltage rotating machines Using intelligent techniques;.” 2014. Thesis, Anna University. Accessed April 04, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/28422.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

K, Sathiyasekar. “Predicting the insulation status of High voltage rotating machines Using intelligent techniques;.” 2014. Web. 04 Apr 2020.

Vancouver:

K S. Predicting the insulation status of High voltage rotating machines Using intelligent techniques;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Apr 04]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28422.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

K S. Predicting the insulation status of High voltage rotating machines Using intelligent techniques;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28422

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

26. Vaithilingam C. Available transfer capability estimation and enhancement in deregulated power systems using intelligent systems;.

Degree: Deregulated power systems, 2013, Anna University

In recent years the vertically integrated power system around the world is experiencing restructuring process. Horizontally distributed deregulated power system emerging successfully where, the generation… (more)

Subjects/Keywords: Power systems; intelligent systems; Transaction index; Independent System Operator; Available Transfer Capability; generalized regression neural network; back propagation algorithm; fuzzy logic

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APA (6th Edition):

C, V. (2013). Available transfer capability estimation and enhancement in deregulated power systems using intelligent systems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/10316

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

C, Vaithilingam. “Available transfer capability estimation and enhancement in deregulated power systems using intelligent systems;.” 2013. Thesis, Anna University. Accessed April 04, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/10316.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

C, Vaithilingam. “Available transfer capability estimation and enhancement in deregulated power systems using intelligent systems;.” 2013. Web. 04 Apr 2020.

Vancouver:

C V. Available transfer capability estimation and enhancement in deregulated power systems using intelligent systems;. [Internet] [Thesis]. Anna University; 2013. [cited 2020 Apr 04]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/10316.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

C V. Available transfer capability estimation and enhancement in deregulated power systems using intelligent systems;. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/10316

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

27. Maniraj J. Analysis of tool wear and surface roughness on coated carbide cutting tools;.

Degree: Tool wear and surface roughness on coated carbide cutting tools, 2014, Anna University

Advancements in technology led to considerable constructive newlinechanges in manufacturing industries occurring across the globe. newlineTechnological change is a term which is used to describe… (more)

Subjects/Keywords: Artificial Neural Network; Back Propagation Neural Network; Coated carbide cutting tools; Mechanical Engineering; Multiple Regression Analysis; Scanning Electron Microscope

Page 1

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

J, M. (2014). Analysis of tool wear and surface roughness on coated carbide cutting tools;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/17165

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

J, Maniraj. “Analysis of tool wear and surface roughness on coated carbide cutting tools;.” 2014. Thesis, Anna University. Accessed April 04, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/17165.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

J, Maniraj. “Analysis of tool wear and surface roughness on coated carbide cutting tools;.” 2014. Web. 04 Apr 2020.

Vancouver:

J M. Analysis of tool wear and surface roughness on coated carbide cutting tools;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Apr 04]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/17165.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

J M. Analysis of tool wear and surface roughness on coated carbide cutting tools;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/17165

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

28. Selvakumar Raja S. Tamil text image processing restoration and character recognition;.

Degree: 2013, Anna University

Tamil, one of the oldest languages in the world, is a South Indian language spoken widely in Tamil Nadu, one of the states of India.… (more)

Subjects/Keywords: Tamil; Image processing; restoration; character recognition; Expectation Maximization (EM); Discrete Wavelet Transform; Back Propagation Neural Network; Support Vector Machine

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APA (6th Edition):

S, S. R. (2013). Tamil text image processing restoration and character recognition;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/13664

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

S, Selvakumar Raja. “Tamil text image processing restoration and character recognition;.” 2013. Thesis, Anna University. Accessed April 04, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/13664.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

S, Selvakumar Raja. “Tamil text image processing restoration and character recognition;.” 2013. Web. 04 Apr 2020.

Vancouver:

S SR. Tamil text image processing restoration and character recognition;. [Internet] [Thesis]. Anna University; 2013. [cited 2020 Apr 04]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/13664.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

S SR. Tamil text image processing restoration and character recognition;. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/13664

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Pontifícia Universidade Católica de São Paulo

29. Marcus Vinícius Cardador Francisco. Desenvolvimento de algoritmo para controle de tráfego urbano usando redes neurais e algoritmos genéticos.

Degree: 2009, Pontifícia Universidade Católica de São Paulo

O objetivo deste trabalho é prover uma solução alternativa para o gerenciamento de fluxos de tráfego por meio de Redes Neurais. Pesquisas em diferentes partes… (more)

Subjects/Keywords: Neural networks; Algoritmos geneticos; OUTROS; Algoritmos; Tráfego; Redes neurais (Computacao); Genetic; Algorithms; Engenharia de trafego; Back-propagation; Propagação reversa; Traffic; Genética

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Francisco, M. V. C. (2009). Desenvolvimento de algoritmo para controle de tráfego urbano usando redes neurais e algoritmos genéticos. (Thesis). Pontifícia Universidade Católica de São Paulo. Retrieved from http://www.sapientia.pucsp.br//tde_busca/arquivo.php?codArquivo=10498

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Francisco, Marcus Vinícius Cardador. “Desenvolvimento de algoritmo para controle de tráfego urbano usando redes neurais e algoritmos genéticos.” 2009. Thesis, Pontifícia Universidade Católica de São Paulo. Accessed April 04, 2020. http://www.sapientia.pucsp.br//tde_busca/arquivo.php?codArquivo=10498.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Francisco, Marcus Vinícius Cardador. “Desenvolvimento de algoritmo para controle de tráfego urbano usando redes neurais e algoritmos genéticos.” 2009. Web. 04 Apr 2020.

Vancouver:

Francisco MVC. Desenvolvimento de algoritmo para controle de tráfego urbano usando redes neurais e algoritmos genéticos. [Internet] [Thesis]. Pontifícia Universidade Católica de São Paulo; 2009. [cited 2020 Apr 04]. Available from: http://www.sapientia.pucsp.br//tde_busca/arquivo.php?codArquivo=10498.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Francisco MVC. Desenvolvimento de algoritmo para controle de tráfego urbano usando redes neurais e algoritmos genéticos. [Thesis]. Pontifícia Universidade Católica de São Paulo; 2009. Available from: http://www.sapientia.pucsp.br//tde_busca/arquivo.php?codArquivo=10498

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Duquesne University

30. Brown, Jason. Neural Network Prediction of Math and Reading Proficiency as Reported in the Educational Longitudinal Study 2002 Based on Non-Curricular Variables.

Degree: EdD, Instructional Technology (EdDIT), 2007, Duquesne University

 Predicting student achievement is often the goal of many studies, and a frequently employed tool for constructing predictive models is multiple linear regression. This research… (more)

Subjects/Keywords: back propagation; linear regression; neural network; prediction; student achievement

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Brown, J. (2007). Neural Network Prediction of Math and Reading Proficiency as Reported in the Educational Longitudinal Study 2002 Based on Non-Curricular Variables. (Doctoral Dissertation). Duquesne University. Retrieved from https://dsc.duq.edu/etd/351

Chicago Manual of Style (16th Edition):

Brown, Jason. “Neural Network Prediction of Math and Reading Proficiency as Reported in the Educational Longitudinal Study 2002 Based on Non-Curricular Variables.” 2007. Doctoral Dissertation, Duquesne University. Accessed April 04, 2020. https://dsc.duq.edu/etd/351.

MLA Handbook (7th Edition):

Brown, Jason. “Neural Network Prediction of Math and Reading Proficiency as Reported in the Educational Longitudinal Study 2002 Based on Non-Curricular Variables.” 2007. Web. 04 Apr 2020.

Vancouver:

Brown J. Neural Network Prediction of Math and Reading Proficiency as Reported in the Educational Longitudinal Study 2002 Based on Non-Curricular Variables. [Internet] [Doctoral dissertation]. Duquesne University; 2007. [cited 2020 Apr 04]. Available from: https://dsc.duq.edu/etd/351.

Council of Science Editors:

Brown J. Neural Network Prediction of Math and Reading Proficiency as Reported in the Educational Longitudinal Study 2002 Based on Non-Curricular Variables. [Doctoral Dissertation]. Duquesne University; 2007. Available from: https://dsc.duq.edu/etd/351

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