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You searched for subject:(Back Propagation). Showing records 1 – 30 of 105 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 March 07, 2021. 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. 07 Mar 2021.

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 2021 Mar 07]. 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 March 07, 2021. 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. 07 Mar 2021.

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 2021 Mar 07]. 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. Doupovec, Zdeněk. Rozpoznávání číslic pomocí neuronové sítě: Neural Network Number Recognition.

Degree: 2018, Brno University of Technology

 This work describes the basic concepts and principles in the field of neural networks. Closer then deals with the problem of multilayer perceptron networks, namely… (more)

Subjects/Keywords: Neuron; neuronová síť; perceptron; back-propagation; rozpoznávání číslic; učení; rozpoznávání.; Neuron; neural network; perceptron; back-propagation; number recognition; learning; recognition.

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APA (6th Edition):

Doupovec, Z. (2018). Rozpoznávání číslic pomocí neuronové sítě: Neural Network Number Recognition. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54450

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):

Doupovec, Zdeněk. “Rozpoznávání číslic pomocí neuronové sítě: Neural Network Number Recognition.” 2018. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/54450.

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

MLA Handbook (7th Edition):

Doupovec, Zdeněk. “Rozpoznávání číslic pomocí neuronové sítě: Neural Network Number Recognition.” 2018. Web. 07 Mar 2021.

Vancouver:

Doupovec Z. Rozpoznávání číslic pomocí neuronové sítě: Neural Network Number Recognition. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/54450.

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

Council of Science Editors:

Doupovec Z. Rozpoznávání číslic pomocí neuronové sítě: Neural Network Number Recognition. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/54450

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: Neural networks in cryptography.

Degree: 2019, Brno University of Technology

 Bachelor's thesis aims to introduce neural networks and their properties, which can be used for creating cryptographic protocols based on neural networks. It proposed concrete… (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. (2019). Neuronové sítě v kryptografii: Neural networks in cryptography. (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: Neural networks in cryptography.” 2019. Thesis, Brno University of Technology. Accessed March 07, 2021. 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: Neural networks in cryptography.” 2019. Web. 07 Mar 2021.

Vancouver:

Borkovec T. Neuronové sítě v kryptografii: Neural networks in cryptography. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 07]. 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: Neural networks in cryptography. [Thesis]. Brno University of Technology; 2019. 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. Lavický, Vojtěch. Využití umělé inteligence v kryptografii: The use of artificial intelligence in cryptography.

Degree: 2019, Brno University of Technology

 Goal of this thesis is to get familiar with problematics of neural networks and commonly used security protocols in cryptography. Theoretical part of the thesis… (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 (6th Edition):

Lavický, V. (2019). Využití umělé inteligence v kryptografii: The use of artificial intelligence in cryptography. (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: The use of artificial intelligence in cryptography.” 2019. Thesis, Brno University of Technology. Accessed March 07, 2021. 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: The use of artificial intelligence in cryptography.” 2019. Web. 07 Mar 2021.

Vancouver:

Lavický V. Využití umělé inteligence v kryptografii: The use of artificial intelligence in cryptography. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 07]. 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: The use of artificial intelligence in cryptography. [Thesis]. Brno University of Technology; 2019. 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


Brno University of Technology

6. Kaňa, Ondřej. Neuronové sítě v algoritmech vodoznačení audio signálů: Neural networks in audio signal watermarking algorithms.

Degree: 2014, Brno University of Technology

 Digital watermarking is a technique for digital multimedia copyright protection. The robustness and the imperceptibility are the main requirements of the watermark. This thesis deals… (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. (2014). Neuronové sítě v algoritmech vodoznačení audio signálů: Neural networks in audio signal watermarking algorithms. (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: Neural networks in audio signal watermarking algorithms.” 2014. Thesis, Brno University of Technology. Accessed March 07, 2021. 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: Neural networks in audio signal watermarking algorithms.” 2014. Web. 07 Mar 2021.

Vancouver:

Kaňa O. Neuronové sítě v algoritmech vodoznačení audio signálů: Neural networks in audio signal watermarking algorithms. [Internet] [Thesis]. Brno University of Technology; 2014. [cited 2021 Mar 07]. 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: Neural networks in audio signal watermarking algorithms. [Thesis]. Brno University of Technology; 2014. 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

7. Čermák, Justin. Implementace neuronové sítě do mikrokontroléru: Neural network implementation into microcontroler.

Degree: 2018, Brno University of Technology

 This bachelor thesis handles about implementation of multi layer neural networks for character recognition into the PC and microcontrollers. The practical part describes how to… (more)

Subjects/Keywords: umělá neuronová síť; mikrokontrolér; perceptron; error back propagation; rozpoznávání znaků; artificial neural network; microcontroller; perceptron; error back propagation; character recognition

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APA (6th Edition):

Čermák, J. (2018). Implementace neuronové sítě do mikrokontroléru: Neural network implementation into microcontroler. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/1045

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):

Čermák, Justin. “Implementace neuronové sítě do mikrokontroléru: Neural network implementation into microcontroler.” 2018. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/1045.

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

MLA Handbook (7th Edition):

Čermák, Justin. “Implementace neuronové sítě do mikrokontroléru: Neural network implementation into microcontroler.” 2018. Web. 07 Mar 2021.

Vancouver:

Čermák J. Implementace neuronové sítě do mikrokontroléru: Neural network implementation into microcontroler. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/1045.

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

Council of Science Editors:

Čermák J. Implementace neuronové sítě do mikrokontroléru: Neural network implementation into microcontroler. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/1045

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


Brno University of Technology

8. Kaňa, Ondřej. Neuronové sítě v algoritmech vodoznačení audio signálů: Neural networks in audio signal watermarking algorithms.

Degree: 2019, Brno University of Technology

 Digital watermarking is a technique for digital multimedia copyright protection. The robustness and the imperceptibility are the main requirements of the watermark. This thesis deals… (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. (2019). Neuronové sítě v algoritmech vodoznačení audio signálů: Neural networks in audio signal watermarking algorithms. (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: Neural networks in audio signal watermarking algorithms.” 2019. Thesis, Brno University of Technology. Accessed March 07, 2021. 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: Neural networks in audio signal watermarking algorithms.” 2019. Web. 07 Mar 2021.

Vancouver:

Kaňa O. Neuronové sítě v algoritmech vodoznačení audio signálů: Neural networks in audio signal watermarking algorithms. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 07]. 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: Neural networks in audio signal watermarking algorithms. [Thesis]. Brno University of Technology; 2019. 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


NSYSU

9. 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 March 07, 2021. 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. 07 Mar 2021.

Vancouver:

Tsai Y. Performance Evaluation of Identification Methods for the Stress Calls of Squirrelfishesï¼Pisces:Holocentridaeï¼. [Internet] [Thesis]. NSYSU; 2008. [cited 2021 Mar 07]. 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


Rochester Institute of Technology

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

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 March 07, 2021. 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. 07 Mar 2021.

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 2021 Mar 07]. 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


Georgia Tech

11. 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 March 07, 2021. http://hdl.handle.net/1853/55054.

MLA Handbook (7th Edition):

Ramachandran, Adithya. “HEV fuel optimization using interval back propagation based dynamic programming.” 2016. Web. 07 Mar 2021.

Vancouver:

Ramachandran A. HEV fuel optimization using interval back propagation based dynamic programming. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2021 Mar 07]. 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

12. Sulaiman, David. Počítačem řízený hráč hry Blokus založený na metodách umělé inteligence: Artificial Intelligence-Based Player for "Blokus" Game.

Degree: 2019, Brno University of Technology

 This thesis compares forward neural networks with algorithms using game theory on basis of board game Blokus. The theoretical introduction part describes the characteristics of… (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. (2019). Počítačem řízený hráč hry Blokus založený na metodách umělé inteligence: Artificial Intelligence-Based Player for "Blokus" Game. (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: Artificial Intelligence-Based Player for "Blokus" Game.” 2019. Thesis, Brno University of Technology. Accessed March 07, 2021. 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: Artificial Intelligence-Based Player for "Blokus" Game.” 2019. Web. 07 Mar 2021.

Vancouver:

Sulaiman D. Počítačem řízený hráč hry Blokus založený na metodách umělé inteligence: Artificial Intelligence-Based Player for "Blokus" Game. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 07]. 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: Artificial Intelligence-Based Player for "Blokus" Game. [Thesis]. Brno University of Technology; 2019. 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


Brno University of Technology

13. Nagyová, Lenka. Aplikace neuronových sítí ve zpracování obrazu: Application of neural net in image processing.

Degree: 2014, Brno University of Technology

 This work focuses on the theory of artificial neural networks: the history, individual ways of learning and architecture of networks. It is also necessary to… (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: Application of neural net in image processing. (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: Application of neural net in image processing.” 2014. Thesis, Brno University of Technology. Accessed March 07, 2021. 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: Application of neural net in image processing.” 2014. Web. 07 Mar 2021.

Vancouver:

Nagyová L. Aplikace neuronových sítí ve zpracování obrazu: Application of neural net in image processing. [Internet] [Thesis]. Brno University of Technology; 2014. [cited 2021 Mar 07]. 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: Application of neural net in image processing. [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


NSYSU

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

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 March 07, 2021. 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. 07 Mar 2021.

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 2021 Mar 07]. 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

15. 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 March 07, 2021. 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. 07 Mar 2021.

Vancouver:

Wang T. Automatic Passenger Counting System Design for Bus Using Image Processing Techniques. [Internet] [Thesis]. NSYSU; 2016. [cited 2021 Mar 07]. 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

16. 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 March 07, 2021. 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. 07 Mar 2021.

Vancouver:

Yeh H. Application of Neural Network on the Recognition of Acoustic Signal for Engine. [Internet] [Thesis]. NSYSU; 2003. [cited 2021 Mar 07]. 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

17. 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 March 07, 2021. 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. 07 Mar 2021.

Vancouver:

Hsu Y. Development of an Intelligent Pedestrian Fall Detection System Based on Machine Vision. [Internet] [Thesis]. NSYSU; 2015. [cited 2021 Mar 07]. 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

18. 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 March 07, 2021. 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. 07 Mar 2021.

Vancouver:

S P. Experimental investigation of quality characteristics in macro and micro machining processes using intelligent techniques;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Mar 07]. 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

19. 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 (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 March 07, 2021. 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. 07 Mar 2021.

Vancouver:

V J. Neural network based monitoring and genetic algorithm based enhancement of voltage stability;. [Internet] [Thesis]. Anna University; 2013. [cited 2021 Mar 07]. 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

20. 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 March 07, 2021. 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. 07 Mar 2021.

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 2021 Mar 07]. 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

21. 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 March 07, 2021. 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. 07 Mar 2021.

Vancouver:

Sewnet G. Predictive Modelling of kaliti Wastewater Treatment Plant Performance Using Artificial Neural Networks . [Internet] [Thesis]. Addis Ababa University; 2012. [cited 2021 Mar 07]. 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

22. 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 March 07, 2021. 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. 07 Mar 2021.

Vancouver:

Sewnet G. PREDICTIVE MODELLING OF KALITI WASTEWATER TREATMENT PLANT PERFORMANCE USING ARTIFICIAL NEURAL NETWORKS . [Internet] [Thesis]. Addis Ababa University; 2012. [cited 2021 Mar 07]. 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

23. 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 (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 March 07, 2021. 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. 07 Mar 2021.

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 2021 Mar 07]. 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


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 (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 March 07, 2021. 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. 07 Mar 2021.

Vancouver:

Albarakati N. FAST NEURAL NETWORK ALGORITHM FOR SOLVING CLASSIFICATION TASKS. [Internet] [Thesis]. Virginia Commonwealth University; 2012. [cited 2021 Mar 07]. 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


University of Guelph

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

Degree: MS, School of Computer Science, 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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Cheung, Edwin H. “Equine Gait Data Analysis using Signal Transforms as a Preprocessor to Back Propagation Networks.” 2014. Masters Thesis, University of Guelph. Accessed March 07, 2021. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8150.

MLA Handbook (7th Edition):

Cheung, Edwin H. “Equine Gait Data Analysis using Signal Transforms as a Preprocessor to Back Propagation Networks.” 2014. Web. 07 Mar 2021.

Vancouver:

Cheung EH. Equine Gait Data Analysis using Signal Transforms as a Preprocessor to Back Propagation Networks. [Internet] [Masters thesis]. University of Guelph; 2014. [cited 2021 Mar 07]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8150.

Council of Science Editors:

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


University of Tennessee – Knoxville

26. Zhao, Jiajia. Whetstone Trained Spiking Deep Neural Networks to Spiking Neural Networks.

Degree: MS, Computer Science, 2019, University of Tennessee – Knoxville

 A deep neural network is a non-spiking artificial neural network which uses multiple structured layers to extract features from the input. Spiking neural networks are… (more)

Subjects/Keywords: Spiking Neural Network; Deep Neural Network; Spiking Deep Neural Network; Machine Learning; Back Propagation; Tensorflow

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

APA (6th Edition):

Zhao, J. (2019). Whetstone Trained Spiking Deep Neural Networks to Spiking Neural Networks. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/5536

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):

Zhao, Jiajia. “Whetstone Trained Spiking Deep Neural Networks to Spiking Neural Networks.” 2019. Thesis, University of Tennessee – Knoxville. Accessed March 07, 2021. https://trace.tennessee.edu/utk_gradthes/5536.

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

MLA Handbook (7th Edition):

Zhao, Jiajia. “Whetstone Trained Spiking Deep Neural Networks to Spiking Neural Networks.” 2019. Web. 07 Mar 2021.

Vancouver:

Zhao J. Whetstone Trained Spiking Deep Neural Networks to Spiking Neural Networks. [Internet] [Thesis]. University of Tennessee – Knoxville; 2019. [cited 2021 Mar 07]. Available from: https://trace.tennessee.edu/utk_gradthes/5536.

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

Council of Science Editors:

Zhao J. Whetstone Trained Spiking Deep Neural Networks to Spiking Neural Networks. [Thesis]. University of Tennessee – Knoxville; 2019. Available from: https://trace.tennessee.edu/utk_gradthes/5536

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


KTH

27. 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 March 07, 2021. 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. 07 Mar 2021.

Vancouver:

Guan X. Predict Next Location of Users using Deep Learning. [Internet] [Thesis]. KTH; 2019. [cited 2021 Mar 07]. 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


McMaster University

28. Bidaki, Elham. ANALYSIS AND DESIGN OF NONLINEAR FIBER OPTIC COMMUNICATION SYSTEMS.

Degree: PhD, 2020, McMaster University

Fiber-optic systems represent the backbone of the communication networks, carrying most of the world’s data traffic. The main bottleneck in today’s fiber-optic communication systems has… (more)

Subjects/Keywords: Nonlinear optics; Fiber optic communication systems; Nonlinear Fourier transform; Optical back propagation

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

APA (6th Edition):

Bidaki, E. (2020). ANALYSIS AND DESIGN OF NONLINEAR FIBER OPTIC COMMUNICATION SYSTEMS. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/25794

Chicago Manual of Style (16th Edition):

Bidaki, Elham. “ANALYSIS AND DESIGN OF NONLINEAR FIBER OPTIC COMMUNICATION SYSTEMS.” 2020. Doctoral Dissertation, McMaster University. Accessed March 07, 2021. http://hdl.handle.net/11375/25794.

MLA Handbook (7th Edition):

Bidaki, Elham. “ANALYSIS AND DESIGN OF NONLINEAR FIBER OPTIC COMMUNICATION SYSTEMS.” 2020. Web. 07 Mar 2021.

Vancouver:

Bidaki E. ANALYSIS AND DESIGN OF NONLINEAR FIBER OPTIC COMMUNICATION SYSTEMS. [Internet] [Doctoral dissertation]. McMaster University; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11375/25794.

Council of Science Editors:

Bidaki E. ANALYSIS AND DESIGN OF NONLINEAR FIBER OPTIC COMMUNICATION SYSTEMS. [Doctoral Dissertation]. McMaster University; 2020. Available from: http://hdl.handle.net/11375/25794


NSYSU

29. Tan, Zjeng-Ming. A Study On Video Servo Control Systems.

Degree: Master, Mechanical and Electro-Mechanical Engineering, 2007, NSYSU

 In this research, a single PAN-TILT image servo system has been developed with real-time face tracing technology. First, the target face is detected, and then… (more)

Subjects/Keywords: Back-propagation neural network; video servo system; image tracking

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

APA (6th Edition):

Tan, Z. (2007). A Study On Video Servo Control Systems. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0716107-173628

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):

Tan, Zjeng-Ming. “A Study On Video Servo Control Systems.” 2007. Thesis, NSYSU. Accessed March 07, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0716107-173628.

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

MLA Handbook (7th Edition):

Tan, Zjeng-Ming. “A Study On Video Servo Control Systems.” 2007. Web. 07 Mar 2021.

Vancouver:

Tan Z. A Study On Video Servo Control Systems. [Internet] [Thesis]. NSYSU; 2007. [cited 2021 Mar 07]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0716107-173628.

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

Council of Science Editors:

Tan Z. A Study On Video Servo Control Systems. [Thesis]. NSYSU; 2007. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0716107-173628

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


Anna University

30. 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 March 07, 2021. 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. 07 Mar 2021.

Vancouver:

K S. Predicting the insulation status of High voltage rotating machines Using intelligent techniques;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Mar 07]. 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

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