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You searched for subject:(Feed Forward Neural Networks). Showing records 1 – 30 of 29906 total matches.

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Brunel University

1. Tawiah, Thomas Andzi-Quainoo. Video content analysis for automated detection and tracking of humans in CCTV surveillance applications.

Degree: PhD, 2010, Brunel University

 The problems of achieving high detection rate with low false alarm rate for human detection and tracking in video sequence, performance scalability, and improving response… (more)

Subjects/Keywords: 621.389; Shape-based discrimination; Biorthogonal wavelets analysis; Feed forward neural networks; Data association filter; Performance scalability

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APA (6th Edition):

Tawiah, T. A. (2010). Video content analysis for automated detection and tracking of humans in CCTV surveillance applications. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/7344 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.569666

Chicago Manual of Style (16th Edition):

Tawiah, Thomas Andzi-Quainoo. “Video content analysis for automated detection and tracking of humans in CCTV surveillance applications.” 2010. Doctoral Dissertation, Brunel University. Accessed November 22, 2019. http://bura.brunel.ac.uk/handle/2438/7344 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.569666.

MLA Handbook (7th Edition):

Tawiah, Thomas Andzi-Quainoo. “Video content analysis for automated detection and tracking of humans in CCTV surveillance applications.” 2010. Web. 22 Nov 2019.

Vancouver:

Tawiah TA. Video content analysis for automated detection and tracking of humans in CCTV surveillance applications. [Internet] [Doctoral dissertation]. Brunel University; 2010. [cited 2019 Nov 22]. Available from: http://bura.brunel.ac.uk/handle/2438/7344 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.569666.

Council of Science Editors:

Tawiah TA. Video content analysis for automated detection and tracking of humans in CCTV surveillance applications. [Doctoral Dissertation]. Brunel University; 2010. Available from: http://bura.brunel.ac.uk/handle/2438/7344 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.569666


Virginia Tech

2. Bendelac, Shiri. Enhanced Neural Network Training Using Selective Backpropagation and Forward Propagation.

Degree: MS, Electrical and Computer Engineering, 2018, Virginia Tech

Neural networks are making headlines every day as the tool of the future, powering artificial intelligence programs and supporting technologies never seen before. However, the… (more)

Subjects/Keywords: machine learning; neural networks; convolutional neural networks; backpropagation; forward propagation; training

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APA (6th Edition):

Bendelac, S. (2018). Enhanced Neural Network Training Using Selective Backpropagation and Forward Propagation. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83714

Chicago Manual of Style (16th Edition):

Bendelac, Shiri. “Enhanced Neural Network Training Using Selective Backpropagation and Forward Propagation.” 2018. Masters Thesis, Virginia Tech. Accessed November 22, 2019. http://hdl.handle.net/10919/83714.

MLA Handbook (7th Edition):

Bendelac, Shiri. “Enhanced Neural Network Training Using Selective Backpropagation and Forward Propagation.” 2018. Web. 22 Nov 2019.

Vancouver:

Bendelac S. Enhanced Neural Network Training Using Selective Backpropagation and Forward Propagation. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10919/83714.

Council of Science Editors:

Bendelac S. Enhanced Neural Network Training Using Selective Backpropagation and Forward Propagation. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83714


University of Victoria

3. Gan, Luyun. Multi-label classification with optimal thresholding for multi-composition spectroscopic analysis.

Degree: Department of Electrical and Computer Engineering, 2019, University of Victoria

 Spectroscopic analysis has several applications in physics, chemistry, bioinformatics, geophysics, astronomy, etc. It has been widely used for detecting mineral samples, gas emission, and food… (more)

Subjects/Keywords: Multi-label Classification; Infrared Spectroscopy; Feed-forward Neural Network; Machine Learning

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APA (6th Edition):

Gan, L. (2019). Multi-label classification with optimal thresholding for multi-composition spectroscopic analysis. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/11095

Chicago Manual of Style (16th Edition):

Gan, Luyun. “Multi-label classification with optimal thresholding for multi-composition spectroscopic analysis.” 2019. Masters Thesis, University of Victoria. Accessed November 22, 2019. http://hdl.handle.net/1828/11095.

MLA Handbook (7th Edition):

Gan, Luyun. “Multi-label classification with optimal thresholding for multi-composition spectroscopic analysis.” 2019. Web. 22 Nov 2019.

Vancouver:

Gan L. Multi-label classification with optimal thresholding for multi-composition spectroscopic analysis. [Internet] [Masters thesis]. University of Victoria; 2019. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1828/11095.

Council of Science Editors:

Gan L. Multi-label classification with optimal thresholding for multi-composition spectroscopic analysis. [Masters Thesis]. University of Victoria; 2019. Available from: http://hdl.handle.net/1828/11095

4. Ushaa, S M. Modeling and simulation of biosensor arrays for automated cancer detection; -.

Degree: Electronics and Communication Engineering, 2011, Jawaharlal Nehru Technological University

Drug dosing is a technique that is done to cure the diseases through proper prescription and control of drugs that have been identified to the… (more)

Subjects/Keywords: Bio Sensors; Automated Drug Delivery System; Healthcare; RFID Devices; Human Diseases; Prostate Cancer Treatment; Ovarian Cancer Treatment; DNA Sensors; Feed-Forward Artificial Neural Networks (FFANN)

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APA (6th Edition):

Ushaa, S. M. (2011). Modeling and simulation of biosensor arrays for automated cancer detection; -. (Thesis). Jawaharlal Nehru Technological University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/4400

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):

Ushaa, S M. “Modeling and simulation of biosensor arrays for automated cancer detection; -.” 2011. Thesis, Jawaharlal Nehru Technological University. Accessed November 22, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/4400.

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

MLA Handbook (7th Edition):

Ushaa, S M. “Modeling and simulation of biosensor arrays for automated cancer detection; -.” 2011. Web. 22 Nov 2019.

Vancouver:

Ushaa SM. Modeling and simulation of biosensor arrays for automated cancer detection; -. [Internet] [Thesis]. Jawaharlal Nehru Technological University; 2011. [cited 2019 Nov 22]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/4400.

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

Council of Science Editors:

Ushaa SM. Modeling and simulation of biosensor arrays for automated cancer detection; -. [Thesis]. Jawaharlal Nehru Technological University; 2011. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/4400

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


University of Arizona

5. Xiong, Kun. Adaptive and Non-Adaptive Evolution of the Control of Gene Expression .

Degree: 2019, University of Arizona

 Non-adaptive evolution refers to evolutionary processes that are primarily driven not by natural selection, but by factors such as a bias towards generating certain mutations… (more)

Subjects/Keywords: computational modeling; drift barrier; feed-forward loops; Gene regulatory networks

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APA (6th Edition):

Xiong, K. (2019). Adaptive and Non-Adaptive Evolution of the Control of Gene Expression . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/633130

Chicago Manual of Style (16th Edition):

Xiong, Kun. “Adaptive and Non-Adaptive Evolution of the Control of Gene Expression .” 2019. Doctoral Dissertation, University of Arizona. Accessed November 22, 2019. http://hdl.handle.net/10150/633130.

MLA Handbook (7th Edition):

Xiong, Kun. “Adaptive and Non-Adaptive Evolution of the Control of Gene Expression .” 2019. Web. 22 Nov 2019.

Vancouver:

Xiong K. Adaptive and Non-Adaptive Evolution of the Control of Gene Expression . [Internet] [Doctoral dissertation]. University of Arizona; 2019. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10150/633130.

Council of Science Editors:

Xiong K. Adaptive and Non-Adaptive Evolution of the Control of Gene Expression . [Doctoral Dissertation]. University of Arizona; 2019. Available from: http://hdl.handle.net/10150/633130


University of Kentucky

6. Settipalli, Praveen. AUTOMATED CLASSIFICATION OF POWER QUALITY DISTURBANCES USING SIGNAL PROCESSING TECHNIQUES AND NEURAL NETWORKS.

Degree: 2007, University of Kentucky

 This thesis focuses on simulating, detecting, localizing and classifying the power quality disturbances using advanced signal processing techniques and neural networks. Primarily discrete wavelet and… (more)

Subjects/Keywords: Power Quality Classification; Frequency and Wavelet Domain; Multi-Resolution Analysis; Feed Forward Neural Networks; Adaptive-Resonance Theory Neural Networks

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APA (6th Edition):

Settipalli, P. (2007). AUTOMATED CLASSIFICATION OF POWER QUALITY DISTURBANCES USING SIGNAL PROCESSING TECHNIQUES AND NEURAL NETWORKS. (Masters Thesis). University of Kentucky. Retrieved from http://uknowledge.uky.edu/gradschool_theses/430

Chicago Manual of Style (16th Edition):

Settipalli, Praveen. “AUTOMATED CLASSIFICATION OF POWER QUALITY DISTURBANCES USING SIGNAL PROCESSING TECHNIQUES AND NEURAL NETWORKS.” 2007. Masters Thesis, University of Kentucky. Accessed November 22, 2019. http://uknowledge.uky.edu/gradschool_theses/430.

MLA Handbook (7th Edition):

Settipalli, Praveen. “AUTOMATED CLASSIFICATION OF POWER QUALITY DISTURBANCES USING SIGNAL PROCESSING TECHNIQUES AND NEURAL NETWORKS.” 2007. Web. 22 Nov 2019.

Vancouver:

Settipalli P. AUTOMATED CLASSIFICATION OF POWER QUALITY DISTURBANCES USING SIGNAL PROCESSING TECHNIQUES AND NEURAL NETWORKS. [Internet] [Masters thesis]. University of Kentucky; 2007. [cited 2019 Nov 22]. Available from: http://uknowledge.uky.edu/gradschool_theses/430.

Council of Science Editors:

Settipalli P. AUTOMATED CLASSIFICATION OF POWER QUALITY DISTURBANCES USING SIGNAL PROCESSING TECHNIQUES AND NEURAL NETWORKS. [Masters Thesis]. University of Kentucky; 2007. Available from: http://uknowledge.uky.edu/gradschool_theses/430


IUPUI

7. Bahrami Asl, Babak. Futuristic Air Compressor System Design and Operation by Using Artificial Intelligence.

Degree: 2018, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

The compressed air system is widely used throughout the industry. Air compressors are one of the most costly systems to… (more)

Subjects/Keywords: Air compressor system design; Air compressor system electrical load prediction; Neural networks; Air compressor system control; Air compressor energy efficiency; Demand management; Air compressor system operation; Peak shaving; Electrical load management; Energy usage reduction; Load forecasting; Feed-forward neural networks (FFNN); Long short-term memory (LSTM)

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APA (6th Edition):

Bahrami Asl, B. (2018). Futuristic Air Compressor System Design and Operation by Using Artificial Intelligence. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/17932

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):

Bahrami Asl, Babak. “Futuristic Air Compressor System Design and Operation by Using Artificial Intelligence.” 2018. Thesis, IUPUI. Accessed November 22, 2019. http://hdl.handle.net/1805/17932.

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

MLA Handbook (7th Edition):

Bahrami Asl, Babak. “Futuristic Air Compressor System Design and Operation by Using Artificial Intelligence.” 2018. Web. 22 Nov 2019.

Vancouver:

Bahrami Asl B. Futuristic Air Compressor System Design and Operation by Using Artificial Intelligence. [Internet] [Thesis]. IUPUI; 2018. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1805/17932.

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

Council of Science Editors:

Bahrami Asl B. Futuristic Air Compressor System Design and Operation by Using Artificial Intelligence. [Thesis]. IUPUI; 2018. Available from: http://hdl.handle.net/1805/17932

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


University of Minnesota

8. Baker, Brittany. How dynamical regime and neuronal network structure influence synchronous events.

Degree: PhD, Mathematics, 2019, University of Minnesota

 Synchronization of spiking neuronal activity plays a role in many important processes in the human body. In 2011, Zhao, Beverlin, Netoff, and Nykamp explored the… (more)

Subjects/Keywords: common input; degree distribution; feed-forward networks; spatial neuronal networks; stochastic simulation; synchrony

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APA (6th Edition):

Baker, B. (2019). How dynamical regime and neuronal network structure influence synchronous events. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/206338

Chicago Manual of Style (16th Edition):

Baker, Brittany. “How dynamical regime and neuronal network structure influence synchronous events.” 2019. Doctoral Dissertation, University of Minnesota. Accessed November 22, 2019. http://hdl.handle.net/11299/206338.

MLA Handbook (7th Edition):

Baker, Brittany. “How dynamical regime and neuronal network structure influence synchronous events.” 2019. Web. 22 Nov 2019.

Vancouver:

Baker B. How dynamical regime and neuronal network structure influence synchronous events. [Internet] [Doctoral dissertation]. University of Minnesota; 2019. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/11299/206338.

Council of Science Editors:

Baker B. How dynamical regime and neuronal network structure influence synchronous events. [Doctoral Dissertation]. University of Minnesota; 2019. Available from: http://hdl.handle.net/11299/206338

9. TANG HUAJIN. Dynamics analysis and applications of neural networks.

Degree: 2005, National University of Singapore

Subjects/Keywords: feed-forward neural networks; recurrent networks; dynamics analysis; quadratic optimization; combinatorial optimization; linear threshold networks

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APA (6th Edition):

HUAJIN, T. (2005). Dynamics analysis and applications of neural networks. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/14483

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):

HUAJIN, TANG. “Dynamics analysis and applications of neural networks.” 2005. Thesis, National University of Singapore. Accessed November 22, 2019. http://scholarbank.nus.edu.sg/handle/10635/14483.

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

MLA Handbook (7th Edition):

HUAJIN, TANG. “Dynamics analysis and applications of neural networks.” 2005. Web. 22 Nov 2019.

Vancouver:

HUAJIN T. Dynamics analysis and applications of neural networks. [Internet] [Thesis]. National University of Singapore; 2005. [cited 2019 Nov 22]. Available from: http://scholarbank.nus.edu.sg/handle/10635/14483.

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

Council of Science Editors:

HUAJIN T. Dynamics analysis and applications of neural networks. [Thesis]. National University of Singapore; 2005. Available from: http://scholarbank.nus.edu.sg/handle/10635/14483

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

10. Kumar, Rajesh. Development of Artificial Neural Network Model to Estimate Global Solar Radiation and Energy Performance Analysis of an Institutional Building;.

Degree: Physics, 2015, Shoolini University of Biotechnology and Management Sciences

Summary and conclusion p.100-104,Reccomendation p.105,References p. 106-118,Appendix p. 119-173,Publications p. 174-175 Advisors/Committee Members: Dr. Sharma JD.

Subjects/Keywords: Artificial Neural Network; Feed Forward Network; Global Solar Radiation; Solar Energy; Weather Parameters

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APA (6th Edition):

Kumar, R. (2015). Development of Artificial Neural Network Model to Estimate Global Solar Radiation and Energy Performance Analysis of an Institutional Building;. (Thesis). Shoolini University of Biotechnology and Management Sciences. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/32150

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):

Kumar, Rajesh. “Development of Artificial Neural Network Model to Estimate Global Solar Radiation and Energy Performance Analysis of an Institutional Building;.” 2015. Thesis, Shoolini University of Biotechnology and Management Sciences. Accessed November 22, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/32150.

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

MLA Handbook (7th Edition):

Kumar, Rajesh. “Development of Artificial Neural Network Model to Estimate Global Solar Radiation and Energy Performance Analysis of an Institutional Building;.” 2015. Web. 22 Nov 2019.

Vancouver:

Kumar R. Development of Artificial Neural Network Model to Estimate Global Solar Radiation and Energy Performance Analysis of an Institutional Building;. [Internet] [Thesis]. Shoolini University of Biotechnology and Management Sciences; 2015. [cited 2019 Nov 22]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/32150.

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

Council of Science Editors:

Kumar R. Development of Artificial Neural Network Model to Estimate Global Solar Radiation and Energy Performance Analysis of an Institutional Building;. [Thesis]. Shoolini University of Biotechnology and Management Sciences; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/32150

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

11. Lin, Yuping. Context-FOFE Based Deep Learning Models for Text Classification and Modeling.

Degree: MSc -MS, Computer Science, 2018, York University

 Text classification is a fundamental task in natural language processing. Many recently proposed deep learning models have leveraged context information in documents and achieved great… (more)

Subjects/Keywords: Computer science; Text classification; Text modeling; Context; Deep learning; Feed-forward neural network; HOPE; FOFE

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APA (6th Edition):

Lin, Y. (2018). Context-FOFE Based Deep Learning Models for Text Classification and Modeling. (Masters Thesis). York University. Retrieved from http://hdl.handle.net/10315/34392

Chicago Manual of Style (16th Edition):

Lin, Yuping. “Context-FOFE Based Deep Learning Models for Text Classification and Modeling.” 2018. Masters Thesis, York University. Accessed November 22, 2019. http://hdl.handle.net/10315/34392.

MLA Handbook (7th Edition):

Lin, Yuping. “Context-FOFE Based Deep Learning Models for Text Classification and Modeling.” 2018. Web. 22 Nov 2019.

Vancouver:

Lin Y. Context-FOFE Based Deep Learning Models for Text Classification and Modeling. [Internet] [Masters thesis]. York University; 2018. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10315/34392.

Council of Science Editors:

Lin Y. Context-FOFE Based Deep Learning Models for Text Classification and Modeling. [Masters Thesis]. York University; 2018. Available from: http://hdl.handle.net/10315/34392


Brno University of Technology

12. Vlček, Michael. Predikce deště z meteoradaru .

Degree: 2015, Brno University of Technology

 Tato práce se zabývá předpovědí počasí s využitím meteoradarových snímků a některých dalších souvisejících faktorů prostřednictvím výpočetního modelu neuronové sítě. Klade si za cíl prozkoumat… (more)

Subjects/Keywords: Předpověď deště; počasí; meteoradar; radarové snímky; zpracování obrazu; neuron; umělé neuronové sítě; predikční model; dopředná neuronová síť se zpětným šířením chyby; učící algoritmy; Rain prediction; weather; meteoradar; radar images; image processing; neuron; artificial neural networks; prediction model; feed-forward backpropagation neural network; learning algorithms

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APA (6th Edition):

Vlček, M. (2015). Predikce deště z meteoradaru . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/52365

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):

Vlček, Michael. “Predikce deště z meteoradaru .” 2015. Thesis, Brno University of Technology. Accessed November 22, 2019. http://hdl.handle.net/11012/52365.

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

MLA Handbook (7th Edition):

Vlček, Michael. “Predikce deště z meteoradaru .” 2015. Web. 22 Nov 2019.

Vancouver:

Vlček M. Predikce deště z meteoradaru . [Internet] [Thesis]. Brno University of Technology; 2015. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/11012/52365.

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

Council of Science Editors:

Vlček M. Predikce deště z meteoradaru . [Thesis]. Brno University of Technology; 2015. Available from: http://hdl.handle.net/11012/52365

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


University of Western Ontario

13. Huang, Yuxuan. Machine Learning for Stock Prediction Based on Fundamental Analysis.

Degree: 2019, University of Western Ontario

 Application of machine learning for stock prediction is attracting a lot of attention in recent years. A large amount of research has been conducted in… (more)

Subjects/Keywords: Stock prediction; fundamental analysis; machine learning; feed-forward neural network; random forest; adaptive neural fuzzy inference system; Artificial Intelligence and Robotics

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APA (6th Edition):

Huang, Y. (2019). Machine Learning for Stock Prediction Based on Fundamental Analysis. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/6148

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):

Huang, Yuxuan. “Machine Learning for Stock Prediction Based on Fundamental Analysis.” 2019. Thesis, University of Western Ontario. Accessed November 22, 2019. https://ir.lib.uwo.ca/etd/6148.

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

MLA Handbook (7th Edition):

Huang, Yuxuan. “Machine Learning for Stock Prediction Based on Fundamental Analysis.” 2019. Web. 22 Nov 2019.

Vancouver:

Huang Y. Machine Learning for Stock Prediction Based on Fundamental Analysis. [Internet] [Thesis]. University of Western Ontario; 2019. [cited 2019 Nov 22]. Available from: https://ir.lib.uwo.ca/etd/6148.

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

Council of Science Editors:

Huang Y. Machine Learning for Stock Prediction Based on Fundamental Analysis. [Thesis]. University of Western Ontario; 2019. Available from: https://ir.lib.uwo.ca/etd/6148

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


University of South Africa

14. Fick, Machteld. Neurale netwerke as moontlike woordafkappingstegniek vir Afrikaans .

Degree: 2002, University of South Africa

 In Afrikaans, soos in NederJands en Duits, word saamgestelde woorde aanmekaar geskryf. Nuwe woorde word dus voortdurend geskep deur woorde aanmekaar te haak Dit bemoeilik… (more)

Subjects/Keywords: Neural networks; Backpropagation; Feed-forward; Training algorithm; Transfer function; Resilient backpropagation; Early termination; Encoding; Hyphenation; Syllabification

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APA (6th Edition):

Fick, M. (2002). Neurale netwerke as moontlike woordafkappingstegniek vir Afrikaans . (Masters Thesis). University of South Africa. Retrieved from http://hdl.handle.net/10500/584

Chicago Manual of Style (16th Edition):

Fick, Machteld. “Neurale netwerke as moontlike woordafkappingstegniek vir Afrikaans .” 2002. Masters Thesis, University of South Africa. Accessed November 22, 2019. http://hdl.handle.net/10500/584.

MLA Handbook (7th Edition):

Fick, Machteld. “Neurale netwerke as moontlike woordafkappingstegniek vir Afrikaans .” 2002. Web. 22 Nov 2019.

Vancouver:

Fick M. Neurale netwerke as moontlike woordafkappingstegniek vir Afrikaans . [Internet] [Masters thesis]. University of South Africa; 2002. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10500/584.

Council of Science Editors:

Fick M. Neurale netwerke as moontlike woordafkappingstegniek vir Afrikaans . [Masters Thesis]. University of South Africa; 2002. Available from: http://hdl.handle.net/10500/584

15. KOH CHUNG HAUR. Expert systems for forecasting stock market indices.

Degree: 2005, National University of Singapore

Subjects/Keywords: Financial Forecasting; Financial Time Series; Stock Market Prediction; Stock Market Index; Feed-forward Neural Networks; Quasi-Newton Method

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APA (6th Edition):

HAUR, K. C. (2005). Expert systems for forecasting stock market indices. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/14517

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):

HAUR, KOH CHUNG. “Expert systems for forecasting stock market indices.” 2005. Thesis, National University of Singapore. Accessed November 22, 2019. http://scholarbank.nus.edu.sg/handle/10635/14517.

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

MLA Handbook (7th Edition):

HAUR, KOH CHUNG. “Expert systems for forecasting stock market indices.” 2005. Web. 22 Nov 2019.

Vancouver:

HAUR KC. Expert systems for forecasting stock market indices. [Internet] [Thesis]. National University of Singapore; 2005. [cited 2019 Nov 22]. Available from: http://scholarbank.nus.edu.sg/handle/10635/14517.

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

Council of Science Editors:

HAUR KC. Expert systems for forecasting stock market indices. [Thesis]. National University of Singapore; 2005. Available from: http://scholarbank.nus.edu.sg/handle/10635/14517

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


The Ohio State University

16. Marashdeh, Qussai Mohammad. Advances in electrical capacitance tomography.

Degree: PhD, Electrical Engineering, 2006, The Ohio State University

 Electrical tomography techniques for process imaging are very prominent for industrial applications due to their low cost, safety, high capture speed, and suitability for different… (more)

Subjects/Keywords: Electrical Capacitacne Tomography; ECT; Multi-modal; Feed Forward Neural Networks; Hopfield Networks; Forward Problem; Image Reconstruction; Inverse Problem; Optimization; EIT; Sensor; Soft Field Tomography; Multi-Phase Imaging; Volume Tomography

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

APA (6th Edition):

Marashdeh, Q. M. (2006). Advances in electrical capacitance tomography. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1148591259

Chicago Manual of Style (16th Edition):

Marashdeh, Qussai Mohammad. “Advances in electrical capacitance tomography.” 2006. Doctoral Dissertation, The Ohio State University. Accessed November 22, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1148591259.

MLA Handbook (7th Edition):

Marashdeh, Qussai Mohammad. “Advances in electrical capacitance tomography.” 2006. Web. 22 Nov 2019.

Vancouver:

Marashdeh QM. Advances in electrical capacitance tomography. [Internet] [Doctoral dissertation]. The Ohio State University; 2006. [cited 2019 Nov 22]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1148591259.

Council of Science Editors:

Marashdeh QM. Advances in electrical capacitance tomography. [Doctoral Dissertation]. The Ohio State University; 2006. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1148591259


Brno University of Technology

17. Vaško, Jan. Využití prostředků umělé inteligence na kapitálových trzích .

Degree: 2011, Brno University of Technology

 Diplomová práce se zabívá analyzováním možnosti využití umělé inteligence, konkrétně umělých neuronových sítí a fuzzy logiky, na kapitálových trzích jako podpůrný nástroj v rozhodování podniku.… (more)

Subjects/Keywords: Fuzzy logika; umělé neuronové sítě; umělá inteligence; index S&P 500; Matlab; neural network toolbox; NARX; Feed-forward back propagation; money management; klouzavý průměr; směrodatná odchylka; MACD; RSI.; Fuzzy logic; neural network; artificial inteligence; index S&P 500; Matlab; neural network toolbox; NARX; Feed-forward back propagation; money management; moving averige; standard deviation; MACD; RSI.

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

APA (6th Edition):

Vaško, J. (2011). Využití prostředků umělé inteligence na kapitálových trzích . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/6698

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):

Vaško, Jan. “Využití prostředků umělé inteligence na kapitálových trzích .” 2011. Thesis, Brno University of Technology. Accessed November 22, 2019. http://hdl.handle.net/11012/6698.

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

MLA Handbook (7th Edition):

Vaško, Jan. “Využití prostředků umělé inteligence na kapitálových trzích .” 2011. Web. 22 Nov 2019.

Vancouver:

Vaško J. Využití prostředků umělé inteligence na kapitálových trzích . [Internet] [Thesis]. Brno University of Technology; 2011. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/11012/6698.

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

Council of Science Editors:

Vaško J. Využití prostředků umělé inteligence na kapitálových trzích . [Thesis]. Brno University of Technology; 2011. Available from: http://hdl.handle.net/11012/6698

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


Brno University of Technology

18. Malásek, Jan. Rozpoznání jednotlivých písmen ve zvukovém záznamu s využitím SOM .

Degree: 2010, Brno University of Technology

 Bakalářská práce popisuje historické pozadí vývoje neuronových sítí a jejich použití při procesu rozpoznání řeči a uvádí do problematiky práce a učení neuronových sítí. Představuje… (more)

Subjects/Keywords: Rozpoznávání řeči; neuronové sítě; forward-backward algoritmus; skryté Markovovy modely; foném; učení; SOM; frekvenční spektrum.; Speech recognition; neural networks; forward-backward; Hidden Markov Models; phone; learning; SOM; frequency spectrum.

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

APA (6th Edition):

Malásek, J. (2010). Rozpoznání jednotlivých písmen ve zvukovém záznamu s využitím SOM . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/71540

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):

Malásek, Jan. “Rozpoznání jednotlivých písmen ve zvukovém záznamu s využitím SOM .” 2010. Thesis, Brno University of Technology. Accessed November 22, 2019. http://hdl.handle.net/11012/71540.

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

MLA Handbook (7th Edition):

Malásek, Jan. “Rozpoznání jednotlivých písmen ve zvukovém záznamu s využitím SOM .” 2010. Web. 22 Nov 2019.

Vancouver:

Malásek J. Rozpoznání jednotlivých písmen ve zvukovém záznamu s využitím SOM . [Internet] [Thesis]. Brno University of Technology; 2010. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/11012/71540.

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

Council of Science Editors:

Malásek J. Rozpoznání jednotlivých písmen ve zvukovém záznamu s využitím SOM . [Thesis]. Brno University of Technology; 2010. Available from: http://hdl.handle.net/11012/71540

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


Universiteit Utrecht

19. Arindrarto, W. Feed-Forward Loops in Eukaryotic Transcription Regulation.

Degree: 2012, Universiteit Utrecht

 Cellular characteristics are determined by molecular interactions. These interactions are complex, forming multi-layered networks that influence each other. One way to analyze these networks is… (more)

Subjects/Keywords: transcription regulation; feed forward loop; network motif

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APA (6th Edition):

Arindrarto, W. (2012). Feed-Forward Loops in Eukaryotic Transcription Regulation. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/256477

Chicago Manual of Style (16th Edition):

Arindrarto, W. “Feed-Forward Loops in Eukaryotic Transcription Regulation.” 2012. Masters Thesis, Universiteit Utrecht. Accessed November 22, 2019. http://dspace.library.uu.nl:8080/handle/1874/256477.

MLA Handbook (7th Edition):

Arindrarto, W. “Feed-Forward Loops in Eukaryotic Transcription Regulation.” 2012. Web. 22 Nov 2019.

Vancouver:

Arindrarto W. Feed-Forward Loops in Eukaryotic Transcription Regulation. [Internet] [Masters thesis]. Universiteit Utrecht; 2012. [cited 2019 Nov 22]. Available from: http://dspace.library.uu.nl:8080/handle/1874/256477.

Council of Science Editors:

Arindrarto W. Feed-Forward Loops in Eukaryotic Transcription Regulation. [Masters Thesis]. Universiteit Utrecht; 2012. Available from: http://dspace.library.uu.nl:8080/handle/1874/256477


University of Manchester

20. Collins, Lisa May. Feed forward control of a micro-CHP unit and its contribution to low energy housing in the UK.

Degree: PhD, 2013, University of Manchester

 This investigation has analysed the impact on energy consumption for heating and cooling in UK housing stock, from the predicted future global warming effect, up… (more)

Subjects/Keywords: 333.7916; heat; control; feed forward; CHP; electricity

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APA (6th Edition):

Collins, L. M. (2013). Feed forward control of a micro-CHP unit and its contribution to low energy housing in the UK. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/feed-forward-control-of-a-microchp-unit-and-its-contribution-to-low-energy-housing-in-the-uk(d9d72b8b-1f51-4c90-af2f-051e72fc3539).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.574308

Chicago Manual of Style (16th Edition):

Collins, Lisa May. “Feed forward control of a micro-CHP unit and its contribution to low energy housing in the UK.” 2013. Doctoral Dissertation, University of Manchester. Accessed November 22, 2019. https://www.research.manchester.ac.uk/portal/en/theses/feed-forward-control-of-a-microchp-unit-and-its-contribution-to-low-energy-housing-in-the-uk(d9d72b8b-1f51-4c90-af2f-051e72fc3539).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.574308.

MLA Handbook (7th Edition):

Collins, Lisa May. “Feed forward control of a micro-CHP unit and its contribution to low energy housing in the UK.” 2013. Web. 22 Nov 2019.

Vancouver:

Collins LM. Feed forward control of a micro-CHP unit and its contribution to low energy housing in the UK. [Internet] [Doctoral dissertation]. University of Manchester; 2013. [cited 2019 Nov 22]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/feed-forward-control-of-a-microchp-unit-and-its-contribution-to-low-energy-housing-in-the-uk(d9d72b8b-1f51-4c90-af2f-051e72fc3539).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.574308.

Council of Science Editors:

Collins LM. Feed forward control of a micro-CHP unit and its contribution to low energy housing in the UK. [Doctoral Dissertation]. University of Manchester; 2013. Available from: https://www.research.manchester.ac.uk/portal/en/theses/feed-forward-control-of-a-microchp-unit-and-its-contribution-to-low-energy-housing-in-the-uk(d9d72b8b-1f51-4c90-af2f-051e72fc3539).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.574308


University of Manitoba

21. RAVALA, KALPANA. Effect of fluid motion on movement performance and finger-force pattern during manipulation of Containers/Cups filled with Liquid.

Degree: Medical Rehabilitation, 2011, University of Manitoba

 The purposes of this study were to: 1) evaluate how movement performance of the thumb and fingers were modified during manipulation of objects with and… (more)

Subjects/Keywords: Feed-forward control; feedback control; precision

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APA (6th Edition):

RAVALA, K. (2011). Effect of fluid motion on movement performance and finger-force pattern during manipulation of Containers/Cups filled with Liquid. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/4845

Chicago Manual of Style (16th Edition):

RAVALA, KALPANA. “Effect of fluid motion on movement performance and finger-force pattern during manipulation of Containers/Cups filled with Liquid.” 2011. Masters Thesis, University of Manitoba. Accessed November 22, 2019. http://hdl.handle.net/1993/4845.

MLA Handbook (7th Edition):

RAVALA, KALPANA. “Effect of fluid motion on movement performance and finger-force pattern during manipulation of Containers/Cups filled with Liquid.” 2011. Web. 22 Nov 2019.

Vancouver:

RAVALA K. Effect of fluid motion on movement performance and finger-force pattern during manipulation of Containers/Cups filled with Liquid. [Internet] [Masters thesis]. University of Manitoba; 2011. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1993/4845.

Council of Science Editors:

RAVALA K. Effect of fluid motion on movement performance and finger-force pattern during manipulation of Containers/Cups filled with Liquid. [Masters Thesis]. University of Manitoba; 2011. Available from: http://hdl.handle.net/1993/4845

22. Hultberg, Johan. Modelling Object Movement Around an Ego Vehicle .

Degree: Chalmers tekniska högskola / Institutionen för mekanik och maritima vetenskaper, 2019, Chalmers University of Technology

 One problem for automated vehicles is that the tra c environment surrounding a vehicle is diverse and populated by a large set of interacting agents… (more)

Subjects/Keywords: Autonomous Vehicles; Machine Learning; Data-driven; Feed Forward Neural Network; Linear Genetic Programming; Principal Components Analysis; Fishers Linear Discriminant; Regression; Path Prediction

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APA (6th Edition):

Hultberg, J. (2019). Modelling Object Movement Around an Ego Vehicle . (Thesis). Chalmers University of Technology. Retrieved from http://hdl.handle.net/20.500.12380/300476

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):

Hultberg, Johan. “Modelling Object Movement Around an Ego Vehicle .” 2019. Thesis, Chalmers University of Technology. Accessed November 22, 2019. http://hdl.handle.net/20.500.12380/300476.

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

MLA Handbook (7th Edition):

Hultberg, Johan. “Modelling Object Movement Around an Ego Vehicle .” 2019. Web. 22 Nov 2019.

Vancouver:

Hultberg J. Modelling Object Movement Around an Ego Vehicle . [Internet] [Thesis]. Chalmers University of Technology; 2019. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/20.500.12380/300476.

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

Council of Science Editors:

Hultberg J. Modelling Object Movement Around an Ego Vehicle . [Thesis]. Chalmers University of Technology; 2019. Available from: http://hdl.handle.net/20.500.12380/300476

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


University of Ottawa

23. Gosal, Gurpreet Singh. The use of Inverse Neural Networks in the Fast Design of Printed Lens Antennas .

Degree: 2015, University of Ottawa

 In this thesis the major objective is the implementation of the inverse neural network concept in the design of printed lens (transmitarray) antenna. As it… (more)

Subjects/Keywords: ANN (Artificial Neural Network); INN (Inverse Neural Network); Forward neural network; Design database; S-parameter database; Printed Lens; Transmitarray; Engineered Surfaces; Inversion; Oblique Incidence; Unit cell; Training data; Test data; Neural network learning; Electric field; Polarization; Transmission coefficient; Transmission phase; Transmission amplitude; Incidence angle; Feed; Aperture

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APA (6th Edition):

Gosal, G. S. (2015). The use of Inverse Neural Networks in the Fast Design of Printed Lens Antennas . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/32249

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):

Gosal, Gurpreet Singh. “The use of Inverse Neural Networks in the Fast Design of Printed Lens Antennas .” 2015. Thesis, University of Ottawa. Accessed November 22, 2019. http://hdl.handle.net/10393/32249.

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

MLA Handbook (7th Edition):

Gosal, Gurpreet Singh. “The use of Inverse Neural Networks in the Fast Design of Printed Lens Antennas .” 2015. Web. 22 Nov 2019.

Vancouver:

Gosal GS. The use of Inverse Neural Networks in the Fast Design of Printed Lens Antennas . [Internet] [Thesis]. University of Ottawa; 2015. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10393/32249.

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

Council of Science Editors:

Gosal GS. The use of Inverse Neural Networks in the Fast Design of Printed Lens Antennas . [Thesis]. University of Ottawa; 2015. Available from: http://hdl.handle.net/10393/32249

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

24. Bahceci, Oktay. Deep Neural Networks for Context Aware Personalized Music Recommendation : A Vector of Curation.

Degree: Computer Science and Communication (CSC), 2017, KTH

Information Filtering and Recommender Systems have been used and has been implemented in various ways from various entities since the dawn of the Internet,… (more)

Subjects/Keywords: Information Filtering; Information Retrieval; Search Engine; Search Engines; Recommendation; Music Recommendation; Personalized Recommendation; Personalised Recommendation; Context Aware Recommendation; Recommender Systems; Statistical Learning; Artificial Intelligence; Machine Learning; Deep Learning; Neural Networks; Artificial Neural Networks; Feed Forward Neural Networks; Convolutional Neural Networks; Recurrent Neural Networks; Deep Neural Networks; Embedding; Computer Sciences; Datavetenskap (datalogi)

…3.1.2 Word2Vec . . . . . . . . 3.2 Artificial Neural Networks . . . 3.3 Feed Forward Neural… …neural network 3.3 Feed Forward Neural Networks A Feed-Forward Neural Network (FFN)… …Networks 3.3.1 Single-Layer Perceptron 3.3.2 Multilayer Perceptron . 3.4 Convolutional Neural… …3.4.3 Exponential Linear Unit . 3.4.4 Pooling . . . . . . . . . . Recurrent Neural Networks… …3.5.1 LSTM . . . . . . . . . . . Deep Neural Networks . . . . . . 3.6.1 Backpropagation… 

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APA (6th Edition):

Bahceci, O. (2017). Deep Neural Networks for Context Aware Personalized Music Recommendation : A Vector of Curation. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210252

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):

Bahceci, Oktay. “Deep Neural Networks for Context Aware Personalized Music Recommendation : A Vector of Curation.” 2017. Thesis, KTH. Accessed November 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210252.

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

MLA Handbook (7th Edition):

Bahceci, Oktay. “Deep Neural Networks for Context Aware Personalized Music Recommendation : A Vector of Curation.” 2017. Web. 22 Nov 2019.

Vancouver:

Bahceci O. Deep Neural Networks for Context Aware Personalized Music Recommendation : A Vector of Curation. [Internet] [Thesis]. KTH; 2017. [cited 2019 Nov 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210252.

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

Council of Science Editors:

Bahceci O. Deep Neural Networks for Context Aware Personalized Music Recommendation : A Vector of Curation. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210252

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


University of Lund

25. Kalteh, Aman Mohammad. Rainfall-Runoff Modelling Using Artificial Neural Networks (ANNs).

Degree: 2007, University of Lund

 Over the last decades or so, artificial neural networks (ANNs) have become one of the most promising tools for modelling hydrological processes such as rainfall-runoff… (more)

Subjects/Keywords: Vattenteknik; Hydrogeology; geographical and geological engineering; Hydrogeologi; teknisk geologi; teknisk geografi; Self-organizing map; Feed-forward multilayer perceptron; Forecasting; Hydrological modelling; Missing values; Rainfall-runoff modelling; Estimation; Artificial neural networks

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

APA (6th Edition):

Kalteh, A. M. (2007). Rainfall-Runoff Modelling Using Artificial Neural Networks (ANNs). (Doctoral Dissertation). University of Lund. Retrieved from http://lup.lub.lu.se/record/548478 ; http://portal.research.lu.se/ws/files/5988874/548479.pdf

Chicago Manual of Style (16th Edition):

Kalteh, Aman Mohammad. “Rainfall-Runoff Modelling Using Artificial Neural Networks (ANNs).” 2007. Doctoral Dissertation, University of Lund. Accessed November 22, 2019. http://lup.lub.lu.se/record/548478 ; http://portal.research.lu.se/ws/files/5988874/548479.pdf.

MLA Handbook (7th Edition):

Kalteh, Aman Mohammad. “Rainfall-Runoff Modelling Using Artificial Neural Networks (ANNs).” 2007. Web. 22 Nov 2019.

Vancouver:

Kalteh AM. Rainfall-Runoff Modelling Using Artificial Neural Networks (ANNs). [Internet] [Doctoral dissertation]. University of Lund; 2007. [cited 2019 Nov 22]. Available from: http://lup.lub.lu.se/record/548478 ; http://portal.research.lu.se/ws/files/5988874/548479.pdf.

Council of Science Editors:

Kalteh AM. Rainfall-Runoff Modelling Using Artificial Neural Networks (ANNs). [Doctoral Dissertation]. University of Lund; 2007. Available from: http://lup.lub.lu.se/record/548478 ; http://portal.research.lu.se/ws/files/5988874/548479.pdf


Virginia Commonwealth University

26. Apte, Advait. Computational modeling of biochemical systems using cellular automata.

Degree: PhD, Chemical Engineering, 2009, Virginia Commonwealth University

 Biological systems exhibit complex behaviors through coordinated responses of individual biological components. With the advent of genome-scale techniques, one focus has been to develop methods… (more)

Subjects/Keywords: cellular automata; computational modeling; networks; feed-forward; Chemical Engineering; Engineering

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APA (6th Edition):

Apte, A. (2009). Computational modeling of biochemical systems using cellular automata. (Doctoral Dissertation). Virginia Commonwealth University. Retrieved from https://scholarscompass.vcu.edu/etd/2046

Chicago Manual of Style (16th Edition):

Apte, Advait. “Computational modeling of biochemical systems using cellular automata.” 2009. Doctoral Dissertation, Virginia Commonwealth University. Accessed November 22, 2019. https://scholarscompass.vcu.edu/etd/2046.

MLA Handbook (7th Edition):

Apte, Advait. “Computational modeling of biochemical systems using cellular automata.” 2009. Web. 22 Nov 2019.

Vancouver:

Apte A. Computational modeling of biochemical systems using cellular automata. [Internet] [Doctoral dissertation]. Virginia Commonwealth University; 2009. [cited 2019 Nov 22]. Available from: https://scholarscompass.vcu.edu/etd/2046.

Council of Science Editors:

Apte A. Computational modeling of biochemical systems using cellular automata. [Doctoral Dissertation]. Virginia Commonwealth University; 2009. Available from: https://scholarscompass.vcu.edu/etd/2046


University of Waterloo

27. Khan, Ahmed Faraz. Bidirectional Learning in Recurrent Neural Networks Using Equilibrium Propagation.

Degree: 2018, University of Waterloo

 Neurobiologically-plausible learning algorithms for recurrent neural networks that can perform supervised learning are a neglected area of study. Equilibrium propagation is a recent synthesis of… (more)

Subjects/Keywords: neural networks

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APA (6th Edition):

Khan, A. F. (2018). Bidirectional Learning in Recurrent Neural Networks Using Equilibrium Propagation. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/13957

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):

Khan, Ahmed Faraz. “Bidirectional Learning in Recurrent Neural Networks Using Equilibrium Propagation.” 2018. Thesis, University of Waterloo. Accessed November 22, 2019. http://hdl.handle.net/10012/13957.

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

MLA Handbook (7th Edition):

Khan, Ahmed Faraz. “Bidirectional Learning in Recurrent Neural Networks Using Equilibrium Propagation.” 2018. Web. 22 Nov 2019.

Vancouver:

Khan AF. Bidirectional Learning in Recurrent Neural Networks Using Equilibrium Propagation. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10012/13957.

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

Council of Science Editors:

Khan AF. Bidirectional Learning in Recurrent Neural Networks Using Equilibrium Propagation. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/13957

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


California State Polytechnic University – Pomona

28. Priya, Renita. A Deep Dive Into Automatic Code Generation Using Character Based Recurrent Neural Networks.

Degree: MS, Department of Computer Science, 2018, California State Polytechnic University – Pomona

 Deep Learning is an emerging field in Artificial Intelligence that uses biologically inspired neural networks to recognize patterns in the natural world. These neural networks(more)

Subjects/Keywords: neural networks

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

APA (6th Edition):

Priya, R. (2018). A Deep Dive Into Automatic Code Generation Using Character Based Recurrent Neural Networks. (Masters Thesis). California State Polytechnic University – Pomona. Retrieved from http://hdl.handle.net/10211.3/206684

Chicago Manual of Style (16th Edition):

Priya, Renita. “A Deep Dive Into Automatic Code Generation Using Character Based Recurrent Neural Networks.” 2018. Masters Thesis, California State Polytechnic University – Pomona. Accessed November 22, 2019. http://hdl.handle.net/10211.3/206684.

MLA Handbook (7th Edition):

Priya, Renita. “A Deep Dive Into Automatic Code Generation Using Character Based Recurrent Neural Networks.” 2018. Web. 22 Nov 2019.

Vancouver:

Priya R. A Deep Dive Into Automatic Code Generation Using Character Based Recurrent Neural Networks. [Internet] [Masters thesis]. California State Polytechnic University – Pomona; 2018. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10211.3/206684.

Council of Science Editors:

Priya R. A Deep Dive Into Automatic Code Generation Using Character Based Recurrent Neural Networks. [Masters Thesis]. California State Polytechnic University – Pomona; 2018. Available from: http://hdl.handle.net/10211.3/206684


University of Otago

29. Wolf, Heiko. Scene text area detection from video .

Degree: 2011, University of Otago

 Text detection from videos is a well known research area. Especially the detection of static superimposed text such as captions has been researched successfully, but… (more)

Subjects/Keywords: Text detection; videos; static superimposed text; captions; key frame extraction; scene text area detection; feature extraction; feature code generation; text area classification; combined feature scheme; self-organising map; feed-forward neural network; neural computing

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

APA (6th Edition):

Wolf, H. (2011). Scene text area detection from video . (Masters Thesis). University of Otago. Retrieved from http://hdl.handle.net/10523/1351

Chicago Manual of Style (16th Edition):

Wolf, Heiko. “Scene text area detection from video .” 2011. Masters Thesis, University of Otago. Accessed November 22, 2019. http://hdl.handle.net/10523/1351.

MLA Handbook (7th Edition):

Wolf, Heiko. “Scene text area detection from video .” 2011. Web. 22 Nov 2019.

Vancouver:

Wolf H. Scene text area detection from video . [Internet] [Masters thesis]. University of Otago; 2011. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10523/1351.

Council of Science Editors:

Wolf H. Scene text area detection from video . [Masters Thesis]. University of Otago; 2011. Available from: http://hdl.handle.net/10523/1351


Brno University of Technology

30. Gróf, Zoltán. Realizace rozdělujících nadploch .

Degree: 2012, Brno University of Technology

 Hlavným zámerom tejto diplomovej práce je popis problematiky realizácie rozdeľujúcich nadplôch pomocou umelých neurónových sietí. Cieľom je predstaviť teoretické znalosti týkajúce sa tejto problematiky a… (more)

Subjects/Keywords: Rozdeľujúce nadplochy; teória rozpoznávania; klasifikácia; Bayesov klasifikátor; príznakový popis predmetu; príznakový priestor; umelá neurónová sieť; dopredná neurónová sieť; topológia siete; trénovacie vzory; Decision boundaries; pattern recognition; classification; Bayes classificator; feature representation of objects; feature plane; artificial neural network; feed-forward neural network; network topology; training samples

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

APA (6th Edition):

Gróf, Z. (2012). Realizace rozdělujících nadploch . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/14099

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):

Gróf, Zoltán. “Realizace rozdělujících nadploch .” 2012. Thesis, Brno University of Technology. Accessed November 22, 2019. http://hdl.handle.net/11012/14099.

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

MLA Handbook (7th Edition):

Gróf, Zoltán. “Realizace rozdělujících nadploch .” 2012. Web. 22 Nov 2019.

Vancouver:

Gróf Z. Realizace rozdělujících nadploch . [Internet] [Thesis]. Brno University of Technology; 2012. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/11012/14099.

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

Council of Science Editors:

Gróf Z. Realizace rozdělujících nadploch . [Thesis]. Brno University of Technology; 2012. Available from: http://hdl.handle.net/11012/14099

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

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