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You searched for subject:(Neural networks Computer science ). Showing records 1 – 30 of 183842 total matches.

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University of Johannesburg

1. De Wet, Anton Petrus Christiaan. An incremental learning system for artificial neural networks.

Degree: 2014, University of Johannesburg

M.Ing. (Electrical And Electronic Engineering)

This dissertation describes the development of a system of Artificial Neural Networks that enables the incremental training of feed forward… (more)

Subjects/Keywords: Neural networks (Computer science); Artificial Neural Networks

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APA (6th Edition):

De Wet, A. P. C. (2014). An incremental learning system for artificial neural networks. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/12024

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):

De Wet, Anton Petrus Christiaan. “An incremental learning system for artificial neural networks.” 2014. Thesis, University of Johannesburg. Accessed June 19, 2019. http://hdl.handle.net/10210/12024.

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

MLA Handbook (7th Edition):

De Wet, Anton Petrus Christiaan. “An incremental learning system for artificial neural networks.” 2014. Web. 19 Jun 2019.

Vancouver:

De Wet APC. An incremental learning system for artificial neural networks. [Internet] [Thesis]. University of Johannesburg; 2014. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10210/12024.

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

Council of Science Editors:

De Wet APC. An incremental learning system for artificial neural networks. [Thesis]. University of Johannesburg; 2014. Available from: http://hdl.handle.net/10210/12024

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


Nelson Mandela Metropolitan University

2. Pretorius, Christiaan Johannes. Artificial neural networks as simulators for behavioural evolution in evolutionary robotics.

Degree: MSc, Faculty of Science, 2010, Nelson Mandela Metropolitan University

 Robotic simulators for use in Evolutionary Robotics (ER) have certain challenges associated with the complexity of their construction and the accuracy of predictions made by… (more)

Subjects/Keywords: Neural networks (Computer science); Robotics

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APA (6th Edition):

Pretorius, C. J. (2010). Artificial neural networks as simulators for behavioural evolution in evolutionary robotics. (Masters Thesis). Nelson Mandela Metropolitan University. Retrieved from http://hdl.handle.net/10948/1476

Chicago Manual of Style (16th Edition):

Pretorius, Christiaan Johannes. “Artificial neural networks as simulators for behavioural evolution in evolutionary robotics.” 2010. Masters Thesis, Nelson Mandela Metropolitan University. Accessed June 19, 2019. http://hdl.handle.net/10948/1476.

MLA Handbook (7th Edition):

Pretorius, Christiaan Johannes. “Artificial neural networks as simulators for behavioural evolution in evolutionary robotics.” 2010. Web. 19 Jun 2019.

Vancouver:

Pretorius CJ. Artificial neural networks as simulators for behavioural evolution in evolutionary robotics. [Internet] [Masters thesis]. Nelson Mandela Metropolitan University; 2010. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10948/1476.

Council of Science Editors:

Pretorius CJ. Artificial neural networks as simulators for behavioural evolution in evolutionary robotics. [Masters Thesis]. Nelson Mandela Metropolitan University; 2010. Available from: http://hdl.handle.net/10948/1476


Oregon State University

3. Moore, Christopher (Chistopher Emory). A recurrent neural network implementation using the graphics processing unit.

Degree: MS, Computer Science, 2009, Oregon State University

 We took the back-propagation algorithms of Werbos for recurrent and feed-forward neural networks and implemented them on machines with graphics processing units (GPU). The parallelism… (more)

Subjects/Keywords: rnn; Neural networks (Computer science)

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APA (6th Edition):

Moore, C. (. E. (2009). A recurrent neural network implementation using the graphics processing unit. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/13658

Chicago Manual of Style (16th Edition):

Moore, Christopher (Chistopher Emory). “A recurrent neural network implementation using the graphics processing unit.” 2009. Masters Thesis, Oregon State University. Accessed June 19, 2019. http://hdl.handle.net/1957/13658.

MLA Handbook (7th Edition):

Moore, Christopher (Chistopher Emory). “A recurrent neural network implementation using the graphics processing unit.” 2009. Web. 19 Jun 2019.

Vancouver:

Moore C(E. A recurrent neural network implementation using the graphics processing unit. [Internet] [Masters thesis]. Oregon State University; 2009. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/1957/13658.

Council of Science Editors:

Moore C(E. A recurrent neural network implementation using the graphics processing unit. [Masters Thesis]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/13658


Ryerson University

4. Harley, Adam W. Segmentation-aware convolutional nets.

Degree: 2016, Ryerson University

 This thesis introduces a method to both obtain segmentation information and integrate it uniformly within a convolutional neural network (CNN). This counter-acts the tendency of… (more)

Subjects/Keywords: Neural networks (Computer science)

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APA (6th Edition):

Harley, A. W. (2016). Segmentation-aware convolutional nets. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A5782

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):

Harley, Adam W. “Segmentation-aware convolutional nets.” 2016. Thesis, Ryerson University. Accessed June 19, 2019. https://digital.library.ryerson.ca/islandora/object/RULA%3A5782.

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

MLA Handbook (7th Edition):

Harley, Adam W. “Segmentation-aware convolutional nets.” 2016. Web. 19 Jun 2019.

Vancouver:

Harley AW. Segmentation-aware convolutional nets. [Internet] [Thesis]. Ryerson University; 2016. [cited 2019 Jun 19]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A5782.

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

Council of Science Editors:

Harley AW. Segmentation-aware convolutional nets. [Thesis]. Ryerson University; 2016. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A5782

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


Rhodes University

5. Chaibva, F A; Burton, M. Optimization of salbutamol sulfate dissolution from sustained release matrix formulations using an artificial neural network.

Degree: 2010, Rhodes University

 An artificial neural network was used to optimize the release of salbutamol sulfate from hydrophilic matrix formulations. Model formulations to be used for training, testing… (more)

Subjects/Keywords:

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APA (6th Edition):

Chaibva, F A; Burton, M. (2010). Optimization of salbutamol sulfate dissolution from sustained release matrix formulations using an artificial neural network. (Thesis). Rhodes University. Retrieved from http://hdl.handle.net/10962/d1006034

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):

Chaibva, F A; Burton, M. “Optimization of salbutamol sulfate dissolution from sustained release matrix formulations using an artificial neural network.” 2010. Thesis, Rhodes University. Accessed June 19, 2019. http://hdl.handle.net/10962/d1006034.

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

MLA Handbook (7th Edition):

Chaibva, F A; Burton, M. “Optimization of salbutamol sulfate dissolution from sustained release matrix formulations using an artificial neural network.” 2010. Web. 19 Jun 2019.

Vancouver:

Chaibva, F A; Burton M. Optimization of salbutamol sulfate dissolution from sustained release matrix formulations using an artificial neural network. [Internet] [Thesis]. Rhodes University; 2010. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10962/d1006034.

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

Council of Science Editors:

Chaibva, F A; Burton M. Optimization of salbutamol sulfate dissolution from sustained release matrix formulations using an artificial neural network. [Thesis]. Rhodes University; 2010. Available from: http://hdl.handle.net/10962/d1006034

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


Oregon State University

6. Cross, James Henry III. Parsing with Recurrent Neural Networks.

Degree: PhD, Computer Science, 2016, Oregon State University

 Machine learning models for natural language processing have traditionally relied on large numbers of discrete features, built up from atomic categories such as word forms… (more)

Subjects/Keywords: Neural networks (Computer science)

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APA (6th Edition):

Cross, J. H. I. (2016). Parsing with Recurrent Neural Networks. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/60029

Chicago Manual of Style (16th Edition):

Cross, James Henry III. “Parsing with Recurrent Neural Networks.” 2016. Doctoral Dissertation, Oregon State University. Accessed June 19, 2019. http://hdl.handle.net/1957/60029.

MLA Handbook (7th Edition):

Cross, James Henry III. “Parsing with Recurrent Neural Networks.” 2016. Web. 19 Jun 2019.

Vancouver:

Cross JHI. Parsing with Recurrent Neural Networks. [Internet] [Doctoral dissertation]. Oregon State University; 2016. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/1957/60029.

Council of Science Editors:

Cross JHI. Parsing with Recurrent Neural Networks. [Doctoral Dissertation]. Oregon State University; 2016. Available from: http://hdl.handle.net/1957/60029


University of Johannesburg

7. Lourens, Cecil Albert. Recurrent neural networks in the chemical process industries.

Degree: 2012, University of Johannesburg

M.Ing.

This dissertation discusses the results of a literature survey into the theoretical aspects and development of recurrent neural networks. In particular, the various architectures… (more)

Subjects/Keywords: Neural networks (Computer science)

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APA (6th Edition):

Lourens, C. A. (2012). Recurrent neural networks in the chemical process industries. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/6913

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):

Lourens, Cecil Albert. “Recurrent neural networks in the chemical process industries.” 2012. Thesis, University of Johannesburg. Accessed June 19, 2019. http://hdl.handle.net/10210/6913.

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

MLA Handbook (7th Edition):

Lourens, Cecil Albert. “Recurrent neural networks in the chemical process industries.” 2012. Web. 19 Jun 2019.

Vancouver:

Lourens CA. Recurrent neural networks in the chemical process industries. [Internet] [Thesis]. University of Johannesburg; 2012. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10210/6913.

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

Council of Science Editors:

Lourens CA. Recurrent neural networks in the chemical process industries. [Thesis]. University of Johannesburg; 2012. Available from: http://hdl.handle.net/10210/6913

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


University of Michigan

8. Reed, Scott. Deep Neural Networks for Visual Reasoning, Program Induction, and Text-to-Image Synthesis.

Degree: PhD, Computer Science & Engineering, 2016, University of Michigan

 Deep neural networks excel at pattern recognition, especially in the setting of large scale supervised learning. A combination of better hardware, more data, and algorithmic… (more)

Subjects/Keywords: neural networks; Computer Science; Engineering

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APA (6th Edition):

Reed, S. (2016). Deep Neural Networks for Visual Reasoning, Program Induction, and Text-to-Image Synthesis. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/135763

Chicago Manual of Style (16th Edition):

Reed, Scott. “Deep Neural Networks for Visual Reasoning, Program Induction, and Text-to-Image Synthesis.” 2016. Doctoral Dissertation, University of Michigan. Accessed June 19, 2019. http://hdl.handle.net/2027.42/135763.

MLA Handbook (7th Edition):

Reed, Scott. “Deep Neural Networks for Visual Reasoning, Program Induction, and Text-to-Image Synthesis.” 2016. Web. 19 Jun 2019.

Vancouver:

Reed S. Deep Neural Networks for Visual Reasoning, Program Induction, and Text-to-Image Synthesis. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/2027.42/135763.

Council of Science Editors:

Reed S. Deep Neural Networks for Visual Reasoning, Program Induction, and Text-to-Image Synthesis. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/135763


University of Victoria

9. Edwards, Roderick. Neural networks and neural fields: discrete and continuous space neural models.

Degree: Department of Mathematics and Statistics, 2018, University of Victoria

 'Attractor' neural network models have useful properties, but biology suggests that more varied dynamics may be significant. Even the equations of the Hopfield network, without… (more)

Subjects/Keywords: Neural circuitry; Neural networks (Computer science)

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APA (6th Edition):

Edwards, R. (2018). Neural networks and neural fields: discrete and continuous space neural models. (Thesis). University of Victoria. Retrieved from https://dspace.library.uvic.ca//handle/1828/9682

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):

Edwards, Roderick. “Neural networks and neural fields: discrete and continuous space neural models.” 2018. Thesis, University of Victoria. Accessed June 19, 2019. https://dspace.library.uvic.ca//handle/1828/9682.

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

MLA Handbook (7th Edition):

Edwards, Roderick. “Neural networks and neural fields: discrete and continuous space neural models.” 2018. Web. 19 Jun 2019.

Vancouver:

Edwards R. Neural networks and neural fields: discrete and continuous space neural models. [Internet] [Thesis]. University of Victoria; 2018. [cited 2019 Jun 19]. Available from: https://dspace.library.uvic.ca//handle/1828/9682.

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

Council of Science Editors:

Edwards R. Neural networks and neural fields: discrete and continuous space neural models. [Thesis]. University of Victoria; 2018. Available from: https://dspace.library.uvic.ca//handle/1828/9682

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


Nelson Mandela Metropolitan University

10. Burger, Clayton. A hybridisation technique for game playing using the upper confidence for trees algorithm with artificial neural networks.

Degree: Faculty of Science, 2014, Nelson Mandela Metropolitan University

 In the domain of strategic game playing, the use of statistical techniques such as the Upper Confidence for Trees (UCT) algorithm, has become the norm… (more)

Subjects/Keywords: Neural networks (Computer science); Computer algorithms

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APA (6th Edition):

Burger, C. (2014). A hybridisation technique for game playing using the upper confidence for trees algorithm with artificial neural networks. (Thesis). Nelson Mandela Metropolitan University. Retrieved from http://hdl.handle.net/10948/3957

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):

Burger, Clayton. “A hybridisation technique for game playing using the upper confidence for trees algorithm with artificial neural networks.” 2014. Thesis, Nelson Mandela Metropolitan University. Accessed June 19, 2019. http://hdl.handle.net/10948/3957.

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

MLA Handbook (7th Edition):

Burger, Clayton. “A hybridisation technique for game playing using the upper confidence for trees algorithm with artificial neural networks.” 2014. Web. 19 Jun 2019.

Vancouver:

Burger C. A hybridisation technique for game playing using the upper confidence for trees algorithm with artificial neural networks. [Internet] [Thesis]. Nelson Mandela Metropolitan University; 2014. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10948/3957.

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

Council of Science Editors:

Burger C. A hybridisation technique for game playing using the upper confidence for trees algorithm with artificial neural networks. [Thesis]. Nelson Mandela Metropolitan University; 2014. Available from: http://hdl.handle.net/10948/3957

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


East Carolina University

11. Ahlstrom, Mark. Recurrence and Plasticity in Evolved Neural Controllers.

Degree: 2009, East Carolina University

 Among the more important applications of evolutionary neurocontrollers is the development of systems that are able to dynamically adapt to a changing environment. While traditional… (more)

Subjects/Keywords: Computer science; Neural networks (Computer science); Computer networks; Evolutionary computation

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APA (6th Edition):

Ahlstrom, M. (2009). Recurrence and Plasticity in Evolved Neural Controllers. (Thesis). East Carolina University. Retrieved from http://hdl.handle.net/10342/2658

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):

Ahlstrom, Mark. “Recurrence and Plasticity in Evolved Neural Controllers.” 2009. Thesis, East Carolina University. Accessed June 19, 2019. http://hdl.handle.net/10342/2658.

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

MLA Handbook (7th Edition):

Ahlstrom, Mark. “Recurrence and Plasticity in Evolved Neural Controllers.” 2009. Web. 19 Jun 2019.

Vancouver:

Ahlstrom M. Recurrence and Plasticity in Evolved Neural Controllers. [Internet] [Thesis]. East Carolina University; 2009. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10342/2658.

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

Council of Science Editors:

Ahlstrom M. Recurrence and Plasticity in Evolved Neural Controllers. [Thesis]. East Carolina University; 2009. Available from: http://hdl.handle.net/10342/2658

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


Columbia University

12. Givon, Lev E. An Open Pipeline for Generating Executable Neural Circuits from Fruit Fly Brain Data.

Degree: 2016, Columbia University

 Despite considerable progress in mapping the fly’s connectome and elucidating the patterns of information flow in its brain, the complexity of the fly brain’s structure… (more)

Subjects/Keywords: Neural circuitry – Computer simulation; Neural circuitry; Neural networks (Computer science); Fruit-flies; Neurosciences; Computer science

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APA (6th Edition):

Givon, L. E. (2016). An Open Pipeline for Generating Executable Neural Circuits from Fruit Fly Brain Data. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8P26Z34

Chicago Manual of Style (16th Edition):

Givon, Lev E. “An Open Pipeline for Generating Executable Neural Circuits from Fruit Fly Brain Data.” 2016. Doctoral Dissertation, Columbia University. Accessed June 19, 2019. https://doi.org/10.7916/D8P26Z34.

MLA Handbook (7th Edition):

Givon, Lev E. “An Open Pipeline for Generating Executable Neural Circuits from Fruit Fly Brain Data.” 2016. Web. 19 Jun 2019.

Vancouver:

Givon LE. An Open Pipeline for Generating Executable Neural Circuits from Fruit Fly Brain Data. [Internet] [Doctoral dissertation]. Columbia University; 2016. [cited 2019 Jun 19]. Available from: https://doi.org/10.7916/D8P26Z34.

Council of Science Editors:

Givon LE. An Open Pipeline for Generating Executable Neural Circuits from Fruit Fly Brain Data. [Doctoral Dissertation]. Columbia University; 2016. Available from: https://doi.org/10.7916/D8P26Z34


University of Aberdeen

13. Amin, Muhamad Kamal M. Multiple self-organised spiking neural networks.

Degree: 2009, University of Aberdeen

 This thesis presents a Multiple Self-Organised Spiking Neural Networks (MSOSNN). The aim of this architecture is to achieve a more biologically plausible artificial neural network.… (more)

Subjects/Keywords: 006.3; Neural networks (Computer science) : Engineering

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APA (6th Edition):

Amin, M. K. M. (2009). Multiple self-organised spiking neural networks. (Doctoral Dissertation). University of Aberdeen. Retrieved from http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=26029 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.499296

Chicago Manual of Style (16th Edition):

Amin, Muhamad Kamal M. “Multiple self-organised spiking neural networks.” 2009. Doctoral Dissertation, University of Aberdeen. Accessed June 19, 2019. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=26029 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.499296.

MLA Handbook (7th Edition):

Amin, Muhamad Kamal M. “Multiple self-organised spiking neural networks.” 2009. Web. 19 Jun 2019.

Vancouver:

Amin MKM. Multiple self-organised spiking neural networks. [Internet] [Doctoral dissertation]. University of Aberdeen; 2009. [cited 2019 Jun 19]. Available from: http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=26029 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.499296.

Council of Science Editors:

Amin MKM. Multiple self-organised spiking neural networks. [Doctoral Dissertation]. University of Aberdeen; 2009. Available from: http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=26029 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.499296


Oregon State University

14. Li, Xin. Don't Fool Me : Detecting Adversarial Examples in Deep Networks.

Degree: MS, Electric and Computer Engineering, 2016, Oregon State University

 Deep learning has greatly improved visual recognition in recent years. However, recent research has shown that there exist many adversarial examples that can negatively impact… (more)

Subjects/Keywords: Deep Network; Neural networks (Computer science)

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APA (6th Edition):

Li, X. (2016). Don't Fool Me : Detecting Adversarial Examples in Deep Networks. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/59867

Chicago Manual of Style (16th Edition):

Li, Xin. “Don't Fool Me : Detecting Adversarial Examples in Deep Networks.” 2016. Masters Thesis, Oregon State University. Accessed June 19, 2019. http://hdl.handle.net/1957/59867.

MLA Handbook (7th Edition):

Li, Xin. “Don't Fool Me : Detecting Adversarial Examples in Deep Networks.” 2016. Web. 19 Jun 2019.

Vancouver:

Li X. Don't Fool Me : Detecting Adversarial Examples in Deep Networks. [Internet] [Masters thesis]. Oregon State University; 2016. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/1957/59867.

Council of Science Editors:

Li X. Don't Fool Me : Detecting Adversarial Examples in Deep Networks. [Masters Thesis]. Oregon State University; 2016. Available from: http://hdl.handle.net/1957/59867


Nelson Mandela Metropolitan University

15. Fernandes, John Manuel. Wireless industrial intelligent controller for a non-linear system.

Degree: Faculty of Engineering, the Built Environment and Information Technology, 2015, Nelson Mandela Metropolitan University

 Modern neural network (NN) based control schemes have surmounted many of the limitations found in the traditional control approaches. Nevertheless, these modern control techniques have… (more)

Subjects/Keywords: Neural networks (Computer science); Linear systems

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APA (6th Edition):

Fernandes, J. M. (2015). Wireless industrial intelligent controller for a non-linear system. (Thesis). Nelson Mandela Metropolitan University. Retrieved from http://hdl.handle.net/10948/9021

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):

Fernandes, John Manuel. “Wireless industrial intelligent controller for a non-linear system.” 2015. Thesis, Nelson Mandela Metropolitan University. Accessed June 19, 2019. http://hdl.handle.net/10948/9021.

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

MLA Handbook (7th Edition):

Fernandes, John Manuel. “Wireless industrial intelligent controller for a non-linear system.” 2015. Web. 19 Jun 2019.

Vancouver:

Fernandes JM. Wireless industrial intelligent controller for a non-linear system. [Internet] [Thesis]. Nelson Mandela Metropolitan University; 2015. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10948/9021.

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

Council of Science Editors:

Fernandes JM. Wireless industrial intelligent controller for a non-linear system. [Thesis]. Nelson Mandela Metropolitan University; 2015. Available from: http://hdl.handle.net/10948/9021

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


Hong Kong University of Science and Technology

16. Wang, He. Neural field dynamics with short-term synaptic depression.

Degree: 2013, Hong Kong University of Science and Technology

 In this thesis, the continuous attractor neural network (CANN) model is applied to investigate neural field dynamics in the presence of short-term synaptic depression (STD).… (more)

Subjects/Keywords: Neural networks (Computer science); Mathematical models

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

APA (6th Edition):

Wang, H. (2013). Neural field dynamics with short-term synaptic depression. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1255619 ; http://repository.ust.hk/ir/bitstream/1783.1-62373/1/th_redirect.html

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, He. “Neural field dynamics with short-term synaptic depression.” 2013. Thesis, Hong Kong University of Science and Technology. Accessed June 19, 2019. https://doi.org/10.14711/thesis-b1255619 ; http://repository.ust.hk/ir/bitstream/1783.1-62373/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Wang, He. “Neural field dynamics with short-term synaptic depression.” 2013. Web. 19 Jun 2019.

Vancouver:

Wang H. Neural field dynamics with short-term synaptic depression. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2013. [cited 2019 Jun 19]. Available from: https://doi.org/10.14711/thesis-b1255619 ; http://repository.ust.hk/ir/bitstream/1783.1-62373/1/th_redirect.html.

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

Council of Science Editors:

Wang H. Neural field dynamics with short-term synaptic depression. [Thesis]. Hong Kong University of Science and Technology; 2013. Available from: https://doi.org/10.14711/thesis-b1255619 ; http://repository.ust.hk/ir/bitstream/1783.1-62373/1/th_redirect.html

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


Hong Kong University of Science and Technology

17. Fung, Chi Chung. Dynamics of continuous attractor neural networks.

Degree: 2010, Hong Kong University of Science and Technology

 In this thesis, there are three parts related to continuous attractor neural networks (CANNs). They are 1) continuous attractor neural networks with Mexican-hat coupling 2)… (more)

Subjects/Keywords: Neural networks (Computer science)  – Mathematical models

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

APA (6th Edition):

Fung, C. C. (2010). Dynamics of continuous attractor neural networks. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1114789 ; http://repository.ust.hk/ir/bitstream/1783.1-6895/1/th_redirect.html

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):

Fung, Chi Chung. “Dynamics of continuous attractor neural networks.” 2010. Thesis, Hong Kong University of Science and Technology. Accessed June 19, 2019. https://doi.org/10.14711/thesis-b1114789 ; http://repository.ust.hk/ir/bitstream/1783.1-6895/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Fung, Chi Chung. “Dynamics of continuous attractor neural networks.” 2010. Web. 19 Jun 2019.

Vancouver:

Fung CC. Dynamics of continuous attractor neural networks. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2010. [cited 2019 Jun 19]. Available from: https://doi.org/10.14711/thesis-b1114789 ; http://repository.ust.hk/ir/bitstream/1783.1-6895/1/th_redirect.html.

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

Council of Science Editors:

Fung CC. Dynamics of continuous attractor neural networks. [Thesis]. Hong Kong University of Science and Technology; 2010. Available from: https://doi.org/10.14711/thesis-b1114789 ; http://repository.ust.hk/ir/bitstream/1783.1-6895/1/th_redirect.html

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


University of Hong Kong

18. 施兆景.; See, Shiu-king, Eric. The use of neural network analysis of PET-CT brain scan regional ¹⁸F-FDG metabolism in diagnosis and prognosis of dementia subjects.

Degree: Master of Medical Sciences, 2013, University of Hong Kong

The elderly population (those aged 65 years or older) in Hong Kong is expected to increase from approximately 13% in 2009 to 28% by 2039.… (more)

Subjects/Keywords: Dementia - Tomography.; Neural networks (Computer science)

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

APA (6th Edition):

施兆景.; See, Shiu-king, E. (2013). The use of neural network analysis of PET-CT brain scan regional ¹⁸F-FDG metabolism in diagnosis and prognosis of dementia subjects. (Masters Thesis). University of Hong Kong. Retrieved from See, S. E. [施兆景]. (2013). The use of neural network analysis of PET-CT brain scan regional ¹⁸F-FDG metabolism in diagnosis and prognosis of dementia subjects. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5071278 ; http://dx.doi.org/10.5353/th_b5071278 ; http://hdl.handle.net/10722/192785

Chicago Manual of Style (16th Edition):

施兆景.; See, Shiu-king, Eric. “The use of neural network analysis of PET-CT brain scan regional ¹⁸F-FDG metabolism in diagnosis and prognosis of dementia subjects.” 2013. Masters Thesis, University of Hong Kong. Accessed June 19, 2019. See, S. E. [施兆景]. (2013). The use of neural network analysis of PET-CT brain scan regional ¹⁸F-FDG metabolism in diagnosis and prognosis of dementia subjects. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5071278 ; http://dx.doi.org/10.5353/th_b5071278 ; http://hdl.handle.net/10722/192785.

MLA Handbook (7th Edition):

施兆景.; See, Shiu-king, Eric. “The use of neural network analysis of PET-CT brain scan regional ¹⁸F-FDG metabolism in diagnosis and prognosis of dementia subjects.” 2013. Web. 19 Jun 2019.

Vancouver:

施兆景.; See, Shiu-king E. The use of neural network analysis of PET-CT brain scan regional ¹⁸F-FDG metabolism in diagnosis and prognosis of dementia subjects. [Internet] [Masters thesis]. University of Hong Kong; 2013. [cited 2019 Jun 19]. Available from: See, S. E. [施兆景]. (2013). The use of neural network analysis of PET-CT brain scan regional ¹⁸F-FDG metabolism in diagnosis and prognosis of dementia subjects. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5071278 ; http://dx.doi.org/10.5353/th_b5071278 ; http://hdl.handle.net/10722/192785.

Council of Science Editors:

施兆景.; See, Shiu-king E. The use of neural network analysis of PET-CT brain scan regional ¹⁸F-FDG metabolism in diagnosis and prognosis of dementia subjects. [Masters Thesis]. University of Hong Kong; 2013. Available from: See, S. E. [施兆景]. (2013). The use of neural network analysis of PET-CT brain scan regional ¹⁸F-FDG metabolism in diagnosis and prognosis of dementia subjects. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5071278 ; http://dx.doi.org/10.5353/th_b5071278 ; http://hdl.handle.net/10722/192785


Ryerson University

19. Behan, Thomas. Investigation of integer neural networks for low cost embedded systems.

Degree: 2009, Ryerson University

Neural networks have been a topic of study for almost half a century and have become one of the predominant methods used for intelligent systems.… (more)

Subjects/Keywords: Neural networks (Computer science); Computational intelligence.

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

APA (6th Edition):

Behan, T. (2009). Investigation of integer neural networks for low cost embedded systems. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A1001

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):

Behan, Thomas. “Investigation of integer neural networks for low cost embedded systems.” 2009. Thesis, Ryerson University. Accessed June 19, 2019. https://digital.library.ryerson.ca/islandora/object/RULA%3A1001.

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

MLA Handbook (7th Edition):

Behan, Thomas. “Investigation of integer neural networks for low cost embedded systems.” 2009. Web. 19 Jun 2019.

Vancouver:

Behan T. Investigation of integer neural networks for low cost embedded systems. [Internet] [Thesis]. Ryerson University; 2009. [cited 2019 Jun 19]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1001.

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

Council of Science Editors:

Behan T. Investigation of integer neural networks for low cost embedded systems. [Thesis]. Ryerson University; 2009. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1001

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

20. Almaimani, Maha. Classifying GPR images using convolutional neural networks.

Degree: 2018, University of Tennessee – Chattanooga

 This thesis focused on classifying GPR cylinders' B-scans according to their depth, size, material, and the dielectric constant of the underlying medium using four different… (more)

Subjects/Keywords: Ground penetrating radar; Neural networks (Computer science)

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

APA (6th Edition):

Almaimani, M. (2018). Classifying GPR images using convolutional neural networks. (Masters Thesis). University of Tennessee – Chattanooga. Retrieved from xii, 50 leaves ; https://scholar.utc.edu/theses/544

Chicago Manual of Style (16th Edition):

Almaimani, Maha. “Classifying GPR images using convolutional neural networks.” 2018. Masters Thesis, University of Tennessee – Chattanooga. Accessed June 19, 2019. xii, 50 leaves ; https://scholar.utc.edu/theses/544.

MLA Handbook (7th Edition):

Almaimani, Maha. “Classifying GPR images using convolutional neural networks.” 2018. Web. 19 Jun 2019.

Vancouver:

Almaimani M. Classifying GPR images using convolutional neural networks. [Internet] [Masters thesis]. University of Tennessee – Chattanooga; 2018. [cited 2019 Jun 19]. Available from: xii, 50 leaves ; https://scholar.utc.edu/theses/544.

Council of Science Editors:

Almaimani M. Classifying GPR images using convolutional neural networks. [Masters Thesis]. University of Tennessee – Chattanooga; 2018. Available from: xii, 50 leaves ; https://scholar.utc.edu/theses/544


University of Victoria

21. Bhattacharya, Dipankar. Neural networks for signal processing.

Degree: Department of Electrical and Computer Engineering, 2018, University of Victoria

 The application of neural networks in the area of signal processing is examined. Two major areas are identified and suitable neural networks are developed. In… (more)

Subjects/Keywords: Neural networks (Computer science); Signal processing

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APA (6th Edition):

Bhattacharya, D. (2018). Neural networks for signal processing. (Thesis). University of Victoria. Retrieved from https://dspace.library.uvic.ca//handle/1828/9693

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):

Bhattacharya, Dipankar. “Neural networks for signal processing.” 2018. Thesis, University of Victoria. Accessed June 19, 2019. https://dspace.library.uvic.ca//handle/1828/9693.

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

MLA Handbook (7th Edition):

Bhattacharya, Dipankar. “Neural networks for signal processing.” 2018. Web. 19 Jun 2019.

Vancouver:

Bhattacharya D. Neural networks for signal processing. [Internet] [Thesis]. University of Victoria; 2018. [cited 2019 Jun 19]. Available from: https://dspace.library.uvic.ca//handle/1828/9693.

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

Council of Science Editors:

Bhattacharya D. Neural networks for signal processing. [Thesis]. University of Victoria; 2018. Available from: https://dspace.library.uvic.ca//handle/1828/9693

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


Rhodes University

22. Paradza, Masimba Wellington. Development of a neural network based model for predicting the occurrence of spread F within the Brazilian sector.

Degree: Faculty of Science, Physics and Electronics, 2009, Rhodes University

 Spread F is a phenomenon of the ionosphere in which the pulses returned from the ionosphere are of a much greater duration than the transmitted… (more)

Subjects/Keywords: Neural networks (Computer science); Ionosphere; F region

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

APA (6th Edition):

Paradza, M. W. (2009). Development of a neural network based model for predicting the occurrence of spread F within the Brazilian sector. (Thesis). Rhodes University. Retrieved from http://hdl.handle.net/10962/d1005245

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):

Paradza, Masimba Wellington. “Development of a neural network based model for predicting the occurrence of spread F within the Brazilian sector.” 2009. Thesis, Rhodes University. Accessed June 19, 2019. http://hdl.handle.net/10962/d1005245.

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

MLA Handbook (7th Edition):

Paradza, Masimba Wellington. “Development of a neural network based model for predicting the occurrence of spread F within the Brazilian sector.” 2009. Web. 19 Jun 2019.

Vancouver:

Paradza MW. Development of a neural network based model for predicting the occurrence of spread F within the Brazilian sector. [Internet] [Thesis]. Rhodes University; 2009. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10962/d1005245.

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

Council of Science Editors:

Paradza MW. Development of a neural network based model for predicting the occurrence of spread F within the Brazilian sector. [Thesis]. Rhodes University; 2009. Available from: http://hdl.handle.net/10962/d1005245

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


University of Johannesburg

23. Knox, Pieter. Neurally inspired octopod locomotion.

Degree: 2012, University of Johannesburg

M.Ing.

A great deal of work has been done in the field of hexapodous autonomous agents. However, in this dissertation the locomotion of a more… (more)

Subjects/Keywords: Robotics.; Neural networks (Computer science); Biomechanics.

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

APA (6th Edition):

Knox, P. (2012). Neurally inspired octopod locomotion. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/7169

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):

Knox, Pieter. “Neurally inspired octopod locomotion.” 2012. Thesis, University of Johannesburg. Accessed June 19, 2019. http://hdl.handle.net/10210/7169.

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

MLA Handbook (7th Edition):

Knox, Pieter. “Neurally inspired octopod locomotion.” 2012. Web. 19 Jun 2019.

Vancouver:

Knox P. Neurally inspired octopod locomotion. [Internet] [Thesis]. University of Johannesburg; 2012. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10210/7169.

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

Council of Science Editors:

Knox P. Neurally inspired octopod locomotion. [Thesis]. University of Johannesburg; 2012. Available from: http://hdl.handle.net/10210/7169

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


University of Johannesburg

24. Barnard, S. J. Short term load forecasting by a modified backpropagation trained neural network.

Degree: 2012, University of Johannesburg

M. Ing.

This dissertation describes the development of a feedforwa.rd neural network, trained by means of an accelerated backpropagation algorithm, used for the short term… (more)

Subjects/Keywords: Neural networks (Computer science); Algorithms.; Machine learning

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APA (6th Edition):

Barnard, S. J. (2012). Short term load forecasting by a modified backpropagation trained neural network. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/5828

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):

Barnard, S J. “Short term load forecasting by a modified backpropagation trained neural network.” 2012. Thesis, University of Johannesburg. Accessed June 19, 2019. http://hdl.handle.net/10210/5828.

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

MLA Handbook (7th Edition):

Barnard, S J. “Short term load forecasting by a modified backpropagation trained neural network.” 2012. Web. 19 Jun 2019.

Vancouver:

Barnard SJ. Short term load forecasting by a modified backpropagation trained neural network. [Internet] [Thesis]. University of Johannesburg; 2012. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/10210/5828.

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

Council of Science Editors:

Barnard SJ. Short term load forecasting by a modified backpropagation trained neural network. [Thesis]. University of Johannesburg; 2012. Available from: http://hdl.handle.net/10210/5828

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

25. Rice, William. Applying generative adversarial networks to intelligent subsurface imaging and identification.

Degree: 2019, University of Tennessee – Chattanooga

 To augment training data for machine learning models in Ground Penetrating Radar (GPR) data classification and identification, this thesis focuses on the generation of realistic… (more)

Subjects/Keywords: Ground penetrating radar; Neural networks (Computer science)

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APA (6th Edition):

Rice, W. (2019). Applying generative adversarial networks to intelligent subsurface imaging and identification. (Masters Thesis). University of Tennessee – Chattanooga. Retrieved from https://scholar.utc.edu/theses/595

Chicago Manual of Style (16th Edition):

Rice, William. “Applying generative adversarial networks to intelligent subsurface imaging and identification.” 2019. Masters Thesis, University of Tennessee – Chattanooga. Accessed June 19, 2019. https://scholar.utc.edu/theses/595.

MLA Handbook (7th Edition):

Rice, William. “Applying generative adversarial networks to intelligent subsurface imaging and identification.” 2019. Web. 19 Jun 2019.

Vancouver:

Rice W. Applying generative adversarial networks to intelligent subsurface imaging and identification. [Internet] [Masters thesis]. University of Tennessee – Chattanooga; 2019. [cited 2019 Jun 19]. Available from: https://scholar.utc.edu/theses/595.

Council of Science Editors:

Rice W. Applying generative adversarial networks to intelligent subsurface imaging and identification. [Masters Thesis]. University of Tennessee – Chattanooga; 2019. Available from: https://scholar.utc.edu/theses/595


Ryerson University

26. Bernitzke, Andreas Fred. GPU implementation of restricted Boltzmann machines with application to view classification in sports videos.

Degree: 2011, Ryerson University

 The objective of this project is to develop a software tool which assists in comparison of a work known as "M-GenESys: Multi Structure Genetic Algorithm… (more)

Subjects/Keywords: Neural networks (Computer science)  – Mathematical models; Graphics processing units; Machine learning; Neural networks (Computer science)

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APA (6th Edition):

Bernitzke, A. F. (2011). GPU implementation of restricted Boltzmann machines with application to view classification in sports videos. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A6076

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):

Bernitzke, Andreas Fred. “GPU implementation of restricted Boltzmann machines with application to view classification in sports videos.” 2011. Thesis, Ryerson University. Accessed June 19, 2019. https://digital.library.ryerson.ca/islandora/object/RULA%3A6076.

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

MLA Handbook (7th Edition):

Bernitzke, Andreas Fred. “GPU implementation of restricted Boltzmann machines with application to view classification in sports videos.” 2011. Web. 19 Jun 2019.

Vancouver:

Bernitzke AF. GPU implementation of restricted Boltzmann machines with application to view classification in sports videos. [Internet] [Thesis]. Ryerson University; 2011. [cited 2019 Jun 19]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6076.

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

Council of Science Editors:

Bernitzke AF. GPU implementation of restricted Boltzmann machines with application to view classification in sports videos. [Thesis]. Ryerson University; 2011. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6076

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


Hong Kong University of Science and Technology

27. Fung, Chi Chung. Dynamics of continuous attractor neural networks with dynamical synapses.

Degree: 2013, Hong Kong University of Science and Technology

 Continuous attractor neural networks (CANNs) are models that describe neuronal systems having localized activities to represent continuous information. Head-direction (HD) cells, place cells and orientation… (more)

Subjects/Keywords: Synapses; Neural networks (Computer science); Neural transmission; Neuroplasticity

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APA (6th Edition):

Fung, C. C. (2013). Dynamics of continuous attractor neural networks with dynamical synapses. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1252000 ; http://repository.ust.hk/ir/bitstream/1783.1-62272/1/th_redirect.html

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):

Fung, Chi Chung. “Dynamics of continuous attractor neural networks with dynamical synapses.” 2013. Thesis, Hong Kong University of Science and Technology. Accessed June 19, 2019. https://doi.org/10.14711/thesis-b1252000 ; http://repository.ust.hk/ir/bitstream/1783.1-62272/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Fung, Chi Chung. “Dynamics of continuous attractor neural networks with dynamical synapses.” 2013. Web. 19 Jun 2019.

Vancouver:

Fung CC. Dynamics of continuous attractor neural networks with dynamical synapses. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2013. [cited 2019 Jun 19]. Available from: https://doi.org/10.14711/thesis-b1252000 ; http://repository.ust.hk/ir/bitstream/1783.1-62272/1/th_redirect.html.

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

Council of Science Editors:

Fung CC. Dynamics of continuous attractor neural networks with dynamical synapses. [Thesis]. Hong Kong University of Science and Technology; 2013. Available from: https://doi.org/10.14711/thesis-b1252000 ; http://repository.ust.hk/ir/bitstream/1783.1-62272/1/th_redirect.html

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


Ryerson University

28. Holker, Graham. Study of estimation of distribution algorithms applied to neuroevolution.

Degree: 2011, Ryerson University

 This thesis proposed a methodology for the automatic design of neural networks via Estimation of Distribution Algorithms (EDA). The method evolves both topology and weights.… (more)

Subjects/Keywords: Evolutionary programming (Computer science); Evolutionary computation; Neural networks (Computer science)

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APA (6th Edition):

Holker, G. (2011). Study of estimation of distribution algorithms applied to neuroevolution. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A1849

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):

Holker, Graham. “Study of estimation of distribution algorithms applied to neuroevolution.” 2011. Thesis, Ryerson University. Accessed June 19, 2019. https://digital.library.ryerson.ca/islandora/object/RULA%3A1849.

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

MLA Handbook (7th Edition):

Holker, Graham. “Study of estimation of distribution algorithms applied to neuroevolution.” 2011. Web. 19 Jun 2019.

Vancouver:

Holker G. Study of estimation of distribution algorithms applied to neuroevolution. [Internet] [Thesis]. Ryerson University; 2011. [cited 2019 Jun 19]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1849.

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

Council of Science Editors:

Holker G. Study of estimation of distribution algorithms applied to neuroevolution. [Thesis]. Ryerson University; 2011. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1849

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


Drexel University

29. Kim, Jae Hoon. Classifying Human Driving Behavior via Deep Neural Networks.

Degree: 2017, Drexel University

The average person spends several hours a day behind the wheel of their vehicles, which are usually equipped with on-board computers capable of collecting real-time… (more)

Subjects/Keywords: Computer science; Artificial intelligence; Classification; Neural networks (Computer science)

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

APA (6th Edition):

Kim, J. H. (2017). Classifying Human Driving Behavior via Deep Neural Networks. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/idea:7471

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):

Kim, Jae Hoon. “Classifying Human Driving Behavior via Deep Neural Networks.” 2017. Thesis, Drexel University. Accessed June 19, 2019. http://hdl.handle.net/1860/idea:7471.

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

MLA Handbook (7th Edition):

Kim, Jae Hoon. “Classifying Human Driving Behavior via Deep Neural Networks.” 2017. Web. 19 Jun 2019.

Vancouver:

Kim JH. Classifying Human Driving Behavior via Deep Neural Networks. [Internet] [Thesis]. Drexel University; 2017. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/1860/idea:7471.

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

Council of Science Editors:

Kim JH. Classifying Human Driving Behavior via Deep Neural Networks. [Thesis]. Drexel University; 2017. Available from: http://hdl.handle.net/1860/idea:7471

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


Drexel University

30. Schwartz, Gabriel. Visual Material Recognition.

Degree: 2017, Drexel University

Materials inform many of our interactions with everyday objects. Knowing that a cup is ceramic, we handle it more gently. When sidewalks are covered with… (more)

Subjects/Keywords: Computer science; Neural networks (Computer science); Visual perception

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

APA (6th Edition):

Schwartz, G. (2017). Visual Material Recognition. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/idea:7703

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):

Schwartz, Gabriel. “Visual Material Recognition.” 2017. Thesis, Drexel University. Accessed June 19, 2019. http://hdl.handle.net/1860/idea:7703.

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

MLA Handbook (7th Edition):

Schwartz, Gabriel. “Visual Material Recognition.” 2017. Web. 19 Jun 2019.

Vancouver:

Schwartz G. Visual Material Recognition. [Internet] [Thesis]. Drexel University; 2017. [cited 2019 Jun 19]. Available from: http://hdl.handle.net/1860/idea:7703.

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

Council of Science Editors:

Schwartz G. Visual Material Recognition. [Thesis]. Drexel University; 2017. Available from: http://hdl.handle.net/1860/idea:7703

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

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