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You searched for subject:(Neural networks Computer science ). Showing records 1 – 30 of 200291 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 August 13, 2020. 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. 13 Aug 2020.

Vancouver:

De Wet APC. An incremental learning system for artificial neural networks. [Internet] [Thesis]. University of Johannesburg; 2014. [cited 2020 Aug 13]. 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


Ryerson University

2. 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 August 13, 2020. 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. 13 Aug 2020.

Vancouver:

Harley AW. Segmentation-aware convolutional nets. [Internet] [Thesis]. Ryerson University; 2016. [cited 2020 Aug 13]. 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


Nelson Mandela Metropolitan University

3. 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 August 13, 2020. 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. 13 Aug 2020.

Vancouver:

Pretorius CJ. Artificial neural networks as simulators for behavioural evolution in evolutionary robotics. [Internet] [Masters thesis]. Nelson Mandela Metropolitan University; 2010. [cited 2020 Aug 13]. 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


University of Johannesburg

4. 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 August 13, 2020. 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. 13 Aug 2020.

Vancouver:

Lourens CA. Recurrent neural networks in the chemical process industries. [Internet] [Thesis]. University of Johannesburg; 2012. [cited 2020 Aug 13]. 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


Oregon State University

5. 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 August 13, 2020. 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. 13 Aug 2020.

Vancouver:

Moore C(E. A recurrent neural network implementation using the graphics processing unit. [Internet] [Masters thesis]. Oregon State University; 2009. [cited 2020 Aug 13]. 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


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 August 13, 2020. http://hdl.handle.net/1957/60029.

MLA Handbook (7th Edition):

Cross, James Henry III. “Parsing with Recurrent Neural Networks.” 2016. Web. 13 Aug 2020.

Vancouver:

Cross JHI. Parsing with Recurrent Neural Networks. [Internet] [Doctoral dissertation]. Oregon State University; 2016. [cited 2020 Aug 13]. 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 Michigan

7. 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 August 13, 2020. 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. 13 Aug 2020.

Vancouver:

Reed S. Deep Neural Networks for Visual Reasoning, Program Induction, and Text-to-Image Synthesis. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Aug 13]. 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


Nelson Mandela Metropolitan University

8. Pretorius, Christiaan Johannes. A comparative study of artificial neural networks and physics models as simulators in evolutionary robotics.

Degree: 2019, Nelson Mandela Metropolitan University

 The Evolutionary Robotics (ER) process is a technique that applies evolutionary optimization algorithms to the task of automatically developing, or evolving, robotic control programs. These… (more)

Subjects/Keywords: Neural networks (Computer science)

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APA (6th Edition):

Pretorius, C. J. (2019). A comparative study of artificial neural networks and physics models as simulators in evolutionary robotics. (Thesis). Nelson Mandela Metropolitan University. Retrieved from http://hdl.handle.net/10948/30789

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):

Pretorius, Christiaan Johannes. “A comparative study of artificial neural networks and physics models as simulators in evolutionary robotics.” 2019. Thesis, Nelson Mandela Metropolitan University. Accessed August 13, 2020. http://hdl.handle.net/10948/30789.

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

MLA Handbook (7th Edition):

Pretorius, Christiaan Johannes. “A comparative study of artificial neural networks and physics models as simulators in evolutionary robotics.” 2019. Web. 13 Aug 2020.

Vancouver:

Pretorius CJ. A comparative study of artificial neural networks and physics models as simulators in evolutionary robotics. [Internet] [Thesis]. Nelson Mandela Metropolitan University; 2019. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10948/30789.

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

Council of Science Editors:

Pretorius CJ. A comparative study of artificial neural networks and physics models as simulators in evolutionary robotics. [Thesis]. Nelson Mandela Metropolitan University; 2019. Available from: http://hdl.handle.net/10948/30789

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


Rhodes University

9. 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 August 13, 2020. 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. 13 Aug 2020.

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 2020 Aug 13]. 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


University of Missouri – Columbia

10. Shen, Shuxian. Multi-scale target detection based on morphological shared-weight neural network.

Degree: 2017, University of Missouri – Columbia

 Convolutional Neural Networks (CNN) are a popular neural network structure for image based applications. This thesis discusses an alternative network, the morphological shared-weight neural network… (more)

Subjects/Keywords: Neural networks (Computer science)

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APA (6th Edition):

Shen, S. (2017). Multi-scale target detection based on morphological shared-weight neural network. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/62086

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):

Shen, Shuxian. “Multi-scale target detection based on morphological shared-weight neural network.” 2017. Thesis, University of Missouri – Columbia. Accessed August 13, 2020. http://hdl.handle.net/10355/62086.

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

MLA Handbook (7th Edition):

Shen, Shuxian. “Multi-scale target detection based on morphological shared-weight neural network.” 2017. Web. 13 Aug 2020.

Vancouver:

Shen S. Multi-scale target detection based on morphological shared-weight neural network. [Internet] [Thesis]. University of Missouri – Columbia; 2017. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10355/62086.

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

Council of Science Editors:

Shen S. Multi-scale target detection based on morphological shared-weight neural network. [Thesis]. University of Missouri – Columbia; 2017. Available from: http://hdl.handle.net/10355/62086

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


University of Victoria

11. 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 August 13, 2020. 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. 13 Aug 2020.

Vancouver:

Edwards R. Neural networks and neural fields: discrete and continuous space neural models. [Internet] [Thesis]. University of Victoria; 2018. [cited 2020 Aug 13]. 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


Rutgers University

12. Shah, Arpit, 1996-. Development of an astrocytic module for spiking neural networks on neuromorphic hardware.

Degree: MS, Spiking neural networks, 2019, Rutgers University

 Astrocytes have long been neglected in application to neuronal networks due to being electrically silent. While these glial cells have been hypothesized to serve as… (more)

Subjects/Keywords: Computer Science; Neural networks (Computer science); Astrocytes

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APA (6th Edition):

Shah, Arpit, 1. (2019). Development of an astrocytic module for spiking neural networks on neuromorphic hardware. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/61054/

Chicago Manual of Style (16th Edition):

Shah, Arpit, 1996-. “Development of an astrocytic module for spiking neural networks on neuromorphic hardware.” 2019. Masters Thesis, Rutgers University. Accessed August 13, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/61054/.

MLA Handbook (7th Edition):

Shah, Arpit, 1996-. “Development of an astrocytic module for spiking neural networks on neuromorphic hardware.” 2019. Web. 13 Aug 2020.

Vancouver:

Shah, Arpit 1. Development of an astrocytic module for spiking neural networks on neuromorphic hardware. [Internet] [Masters thesis]. Rutgers University; 2019. [cited 2020 Aug 13]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/61054/.

Council of Science Editors:

Shah, Arpit 1. Development of an astrocytic module for spiking neural networks on neuromorphic hardware. [Masters Thesis]. Rutgers University; 2019. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/61054/


Nelson Mandela Metropolitan University

13. 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 August 13, 2020. 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. 13 Aug 2020.

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 2020 Aug 13]. 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


Columbia University

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

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 August 13, 2020. 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. 13 Aug 2020.

Vancouver:

Givon LE. An Open Pipeline for Generating Executable Neural Circuits from Fruit Fly Brain Data. [Internet] [Doctoral dissertation]. Columbia University; 2016. [cited 2020 Aug 13]. 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


Ryerson University

15. 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 (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 August 13, 2020. 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. 13 Aug 2020.

Vancouver:

Behan T. Investigation of integer neural networks for low cost embedded systems. [Internet] [Thesis]. Ryerson University; 2009. [cited 2020 Aug 13]. 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


University of Waterloo

16. Jhunjhunwala, Aman. Policy Extraction via Online Q-Value Distillation.

Degree: 2019, University of Waterloo

 Recently, deep neural networks have been capable of solving complex control tasks in certain challenging environments. However, these deep learning policies continue to be hard… (more)

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

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APA (6th Edition):

Jhunjhunwala, A. (2019). Policy Extraction via Online Q-Value Distillation. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14963

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):

Jhunjhunwala, Aman. “Policy Extraction via Online Q-Value Distillation.” 2019. Thesis, University of Waterloo. Accessed August 13, 2020. http://hdl.handle.net/10012/14963.

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

MLA Handbook (7th Edition):

Jhunjhunwala, Aman. “Policy Extraction via Online Q-Value Distillation.” 2019. Web. 13 Aug 2020.

Vancouver:

Jhunjhunwala A. Policy Extraction via Online Q-Value Distillation. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10012/14963.

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

Council of Science Editors:

Jhunjhunwala A. Policy Extraction via Online Q-Value Distillation. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/14963

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


University of Johannesburg

17. 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 August 13, 2020. 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. 13 Aug 2020.

Vancouver:

Knox P. Neurally inspired octopod locomotion. [Internet] [Thesis]. University of Johannesburg; 2012. [cited 2020 Aug 13]. 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

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

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 August 13, 2020. 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. 13 Aug 2020.

Vancouver:

Barnard SJ. Short term load forecasting by a modified backpropagation trained neural network. [Internet] [Thesis]. University of Johannesburg; 2012. [cited 2020 Aug 13]. 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


Oregon State University

19. 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 August 13, 2020. http://hdl.handle.net/1957/59867.

MLA Handbook (7th Edition):

Li, Xin. “Don't Fool Me : Detecting Adversarial Examples in Deep Networks.” 2016. Web. 13 Aug 2020.

Vancouver:

Li X. Don't Fool Me : Detecting Adversarial Examples in Deep Networks. [Internet] [Masters thesis]. Oregon State University; 2016. [cited 2020 Aug 13]. 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

20. 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 August 13, 2020. 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. 13 Aug 2020.

Vancouver:

Fernandes JM. Wireless industrial intelligent controller for a non-linear system. [Internet] [Thesis]. Nelson Mandela Metropolitan University; 2015. [cited 2020 Aug 13]. 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


Rhodes University

21. 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 (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 August 13, 2020. 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. 13 Aug 2020.

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 2020 Aug 13]. 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


Hong Kong University of Science and Technology

22. 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 (6th Edition):

Wang, H. (2013). Neural field dynamics with short-term synaptic depression. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-62373 ; 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 August 13, 2020. http://repository.ust.hk/ir/Record/1783.1-62373 ; 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. 13 Aug 2020.

Vancouver:

Wang H. Neural field dynamics with short-term synaptic depression. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2013. [cited 2020 Aug 13]. Available from: http://repository.ust.hk/ir/Record/1783.1-62373 ; 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: http://repository.ust.hk/ir/Record/1783.1-62373 ; 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

23. 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 August 13, 2020. https://scholar.utc.edu/theses/595.

MLA Handbook (7th Edition):

Rice, William. “Applying generative adversarial networks to intelligent subsurface imaging and identification.” 2019. Web. 13 Aug 2020.

Vancouver:

Rice W. Applying generative adversarial networks to intelligent subsurface imaging and identification. [Internet] [Masters thesis]. University of Tennessee – Chattanooga; 2019. [cited 2020 Aug 13]. 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

24. 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 (6th Edition):

Almaimani, M. (2018). Classifying GPR images using convolutional neural networks. (Masters Thesis). University of Tennessee – Chattanooga. Retrieved from 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 August 13, 2020. https://scholar.utc.edu/theses/544.

MLA Handbook (7th Edition):

Almaimani, Maha. “Classifying GPR images using convolutional neural networks.” 2018. Web. 13 Aug 2020.

Vancouver:

Almaimani M. Classifying GPR images using convolutional neural networks. [Internet] [Masters thesis]. University of Tennessee – Chattanooga; 2018. [cited 2020 Aug 13]. Available from: 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: https://scholar.utc.edu/theses/544


California State University – Sacramento

25. Hande, Praveen Kumar Reddy. Online opinion spam detection at business level based on semantic embeddings.

Degree: MS, Computer Science, 2020, California State University – Sacramento

 Online opinion spamming has become a potential threat widespread in this digital era as most decisions from the purchase of a simple product to consulting… (more)

Subjects/Keywords: User-generated content; Neural networks (Computer science)

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APA (6th Edition):

Hande, P. K. R. (2020). Online opinion spam detection at business level based on semantic embeddings. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/215215

Chicago Manual of Style (16th Edition):

Hande, Praveen Kumar Reddy. “Online opinion spam detection at business level based on semantic embeddings.” 2020. Masters Thesis, California State University – Sacramento. Accessed August 13, 2020. http://hdl.handle.net/10211.3/215215.

MLA Handbook (7th Edition):

Hande, Praveen Kumar Reddy. “Online opinion spam detection at business level based on semantic embeddings.” 2020. Web. 13 Aug 2020.

Vancouver:

Hande PKR. Online opinion spam detection at business level based on semantic embeddings. [Internet] [Masters thesis]. California State University – Sacramento; 2020. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10211.3/215215.

Council of Science Editors:

Hande PKR. Online opinion spam detection at business level based on semantic embeddings. [Masters Thesis]. California State University – Sacramento; 2020. Available from: http://hdl.handle.net/10211.3/215215


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 August 13, 2020. 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. 13 Aug 2020.

Vancouver:

Bernitzke AF. GPU implementation of restricted Boltzmann machines with application to view classification in sports videos. [Internet] [Thesis]. Ryerson University; 2011. [cited 2020 Aug 13]. 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


Drexel University

27. Akin, Myles. Multiplex Network Analysis of Local Topology in Simulated and \textit{In Vitro} Spiking Neural Networks.

Degree: 2018, Drexel University

Complex networks are important tools for investigating interactions amongst many different types of agents. Recently, the extension of single layer networks to multilayer networks has… (more)

Subjects/Keywords: Mathematics; Applied mathematics; Neurosciences; Neural networks (Computer science); Neural networks (Computer science) – Mathematics

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APA (6th Edition):

Akin, M. (2018). Multiplex Network Analysis of Local Topology in Simulated and \textit{In Vitro} Spiking Neural Networks. (Thesis). Drexel University. Retrieved from https://idea.library.drexel.edu/islandora/object/idea%3A7911

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):

Akin, Myles. “Multiplex Network Analysis of Local Topology in Simulated and \textit{In Vitro} Spiking Neural Networks.” 2018. Thesis, Drexel University. Accessed August 13, 2020. https://idea.library.drexel.edu/islandora/object/idea%3A7911.

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

MLA Handbook (7th Edition):

Akin, Myles. “Multiplex Network Analysis of Local Topology in Simulated and \textit{In Vitro} Spiking Neural Networks.” 2018. Web. 13 Aug 2020.

Vancouver:

Akin M. Multiplex Network Analysis of Local Topology in Simulated and \textit{In Vitro} Spiking Neural Networks. [Internet] [Thesis]. Drexel University; 2018. [cited 2020 Aug 13]. Available from: https://idea.library.drexel.edu/islandora/object/idea%3A7911.

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

Council of Science Editors:

Akin M. Multiplex Network Analysis of Local Topology in Simulated and \textit{In Vitro} Spiking Neural Networks. [Thesis]. Drexel University; 2018. Available from: https://idea.library.drexel.edu/islandora/object/idea%3A7911

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

28. 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 http://repository.ust.hk/ir/Record/1783.1-62272 ; 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 August 13, 2020. http://repository.ust.hk/ir/Record/1783.1-62272 ; 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. 13 Aug 2020.

Vancouver:

Fung CC. Dynamics of continuous attractor neural networks with dynamical synapses. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2013. [cited 2020 Aug 13]. Available from: http://repository.ust.hk/ir/Record/1783.1-62272 ; 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: http://repository.ust.hk/ir/Record/1783.1-62272 ; 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

29. 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 August 13, 2020. 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. 13 Aug 2020.

Vancouver:

Holker G. Study of estimation of distribution algorithms applied to neuroevolution. [Internet] [Thesis]. Ryerson University; 2011. [cited 2020 Aug 13]. 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


University of Johannesburg

30. Oosthuizen, Wouter. Audit considerations in neural net based knowledge systems.

Degree: 2014, University of Johannesburg

M.Com. (Computer Auditing)

Knowledge-based systems (KBS's) is one of the new and emerging technologies, and it is expected to impact dramatically on the information systems… (more)

Subjects/Keywords: Expert systems (Computer science); Neural networks (Computer science); Audutung - Data processing

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APA (6th Edition):

Oosthuizen, W. (2014). Audit considerations in neural net based knowledge systems. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/10529

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):

Oosthuizen, Wouter. “Audit considerations in neural net based knowledge systems.” 2014. Thesis, University of Johannesburg. Accessed August 13, 2020. http://hdl.handle.net/10210/10529.

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

MLA Handbook (7th Edition):

Oosthuizen, Wouter. “Audit considerations in neural net based knowledge systems.” 2014. Web. 13 Aug 2020.

Vancouver:

Oosthuizen W. Audit considerations in neural net based knowledge systems. [Internet] [Thesis]. University of Johannesburg; 2014. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10210/10529.

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

Council of Science Editors:

Oosthuizen W. Audit considerations in neural net based knowledge systems. [Thesis]. University of Johannesburg; 2014. Available from: http://hdl.handle.net/10210/10529

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

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