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You searched for subject:(Neural networks). Showing records 1 – 30 of 5305 total matches.

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1. Bishop, Griffin R. Unsupervised Semantic Segmentation through Cross-Instance Representation Similarity.

Degree: MS, 2020, Worcester Polytechnic Institute

  Semantic segmentation methods using deep neural networks typically require huge volumes of annotated data to train properly. Due to the expense of collecting these… (more)

Subjects/Keywords: neural networks

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

APA (6th Edition):

Bishop, G. R. (2020). Unsupervised Semantic Segmentation through Cross-Instance Representation Similarity. (Thesis). Worcester Polytechnic Institute. Retrieved from etd-3771 ; https://digitalcommons.wpi.edu/etd-theses/1371

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):

Bishop, Griffin R. “Unsupervised Semantic Segmentation through Cross-Instance Representation Similarity.” 2020. Thesis, Worcester Polytechnic Institute. Accessed September 19, 2020. etd-3771 ; https://digitalcommons.wpi.edu/etd-theses/1371.

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

MLA Handbook (7th Edition):

Bishop, Griffin R. “Unsupervised Semantic Segmentation through Cross-Instance Representation Similarity.” 2020. Web. 19 Sep 2020.

Vancouver:

Bishop GR. Unsupervised Semantic Segmentation through Cross-Instance Representation Similarity. [Internet] [Thesis]. Worcester Polytechnic Institute; 2020. [cited 2020 Sep 19]. Available from: etd-3771 ; https://digitalcommons.wpi.edu/etd-theses/1371.

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

Council of Science Editors:

Bishop GR. Unsupervised Semantic Segmentation through Cross-Instance Representation Similarity. [Thesis]. Worcester Polytechnic Institute; 2020. Available from: etd-3771 ; https://digitalcommons.wpi.edu/etd-theses/1371

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


University of Johannesburg

2. 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 September 19, 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. 19 Sep 2020.

Vancouver:

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


University of Waterloo

3. Bekolay, Trevor. Learning in large-scale spiking neural networks.

Degree: 2011, University of Waterloo

 Learning is central to the exploration of intelligence. Psychology and machine learning provide high-level explanations of how rational agents learn. Neuroscience provides low-level descriptions of… (more)

Subjects/Keywords: neuroplasticity; learning; neural networks; spiking neural networks

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APA (6th Edition):

Bekolay, T. (2011). Learning in large-scale spiking neural networks. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/6195

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):

Bekolay, Trevor. “Learning in large-scale spiking neural networks.” 2011. Thesis, University of Waterloo. Accessed September 19, 2020. http://hdl.handle.net/10012/6195.

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

MLA Handbook (7th Edition):

Bekolay, Trevor. “Learning in large-scale spiking neural networks.” 2011. Web. 19 Sep 2020.

Vancouver:

Bekolay T. Learning in large-scale spiking neural networks. [Internet] [Thesis]. University of Waterloo; 2011. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/10012/6195.

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

Council of Science Editors:

Bekolay T. Learning in large-scale spiking neural networks. [Thesis]. University of Waterloo; 2011. Available from: http://hdl.handle.net/10012/6195

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


University of Toronto

4. Tieleman, Tijmen. Optimizing Neural Networks that Generate Iimages.

Degree: PhD, 2014, University of Toronto

 Image recognition, also known as computer vision, is one of the most prominent applications of neural networks. The image recognition methods presented in this thesis… (more)

Subjects/Keywords: Neural networks; 0984

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APA (6th Edition):

Tieleman, T. (2014). Optimizing Neural Networks that Generate Iimages. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/68420

Chicago Manual of Style (16th Edition):

Tieleman, Tijmen. “Optimizing Neural Networks that Generate Iimages.” 2014. Doctoral Dissertation, University of Toronto. Accessed September 19, 2020. http://hdl.handle.net/1807/68420.

MLA Handbook (7th Edition):

Tieleman, Tijmen. “Optimizing Neural Networks that Generate Iimages.” 2014. Web. 19 Sep 2020.

Vancouver:

Tieleman T. Optimizing Neural Networks that Generate Iimages. [Internet] [Doctoral dissertation]. University of Toronto; 2014. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/1807/68420.

Council of Science Editors:

Tieleman T. Optimizing Neural Networks that Generate Iimages. [Doctoral Dissertation]. University of Toronto; 2014. Available from: http://hdl.handle.net/1807/68420


Bucknell University

5. Mukhopadhyay, Himadri. The Resonate-and-fire Neuron: Time Dependent and Frequency Selective Neurons in Neural Networks.

Degree: 2010, Bucknell University

 The means through which the nervous system perceives its environment is one of the most fascinating questions in contemporary science. Our endeavors to comprehend the… (more)

Subjects/Keywords: Neural Signals; Neural Networks; Temporal Backpropagation

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APA (6th Edition):

Mukhopadhyay, H. (2010). The Resonate-and-fire Neuron: Time Dependent and Frequency Selective Neurons in Neural Networks. (Thesis). Bucknell University. Retrieved from https://digitalcommons.bucknell.edu/masters_theses/23

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):

Mukhopadhyay, Himadri. “The Resonate-and-fire Neuron: Time Dependent and Frequency Selective Neurons in Neural Networks.” 2010. Thesis, Bucknell University. Accessed September 19, 2020. https://digitalcommons.bucknell.edu/masters_theses/23.

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

MLA Handbook (7th Edition):

Mukhopadhyay, Himadri. “The Resonate-and-fire Neuron: Time Dependent and Frequency Selective Neurons in Neural Networks.” 2010. Web. 19 Sep 2020.

Vancouver:

Mukhopadhyay H. The Resonate-and-fire Neuron: Time Dependent and Frequency Selective Neurons in Neural Networks. [Internet] [Thesis]. Bucknell University; 2010. [cited 2020 Sep 19]. Available from: https://digitalcommons.bucknell.edu/masters_theses/23.

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

Council of Science Editors:

Mukhopadhyay H. The Resonate-and-fire Neuron: Time Dependent and Frequency Selective Neurons in Neural Networks. [Thesis]. Bucknell University; 2010. Available from: https://digitalcommons.bucknell.edu/masters_theses/23

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


University of Victoria

6. 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 September 19, 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. 19 Sep 2020.

Vancouver:

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


NSYSU

7. Wang, Hao-Yi. The Impacts of Image Contexts on Dialogue Systems.

Degree: Master, Information Management, 2018, NSYSU

 Chatting with machines is not only possible but also more and more common in our lives these days. With the approach, we can execute commands… (more)

Subjects/Keywords: , Dialogue; Convolutional neural networks; Recurrent neural networks; Image recognition; Natural language; Neural networks; Machine learning

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APA (6th Edition):

Wang, H. (2018). The Impacts of Image Contexts on Dialogue Systems. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0616118-181354

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, Hao-Yi. “The Impacts of Image Contexts on Dialogue Systems.” 2018. Thesis, NSYSU. Accessed September 19, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0616118-181354.

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

MLA Handbook (7th Edition):

Wang, Hao-Yi. “The Impacts of Image Contexts on Dialogue Systems.” 2018. Web. 19 Sep 2020.

Vancouver:

Wang H. The Impacts of Image Contexts on Dialogue Systems. [Internet] [Thesis]. NSYSU; 2018. [cited 2020 Sep 19]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0616118-181354.

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. The Impacts of Image Contexts on Dialogue Systems. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0616118-181354

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


University of Ontario Institute of Technology

8. Joseph, Tony. Joint spatial and layer attention for convolutional networks.

Degree: 2019, University of Ontario Institute of Technology

 In this work, we propose a novel approach that learns to sequentially attend to different Convolutional Neural Networks (CNN) layers (i.e., ???what??? feature abstraction to… (more)

Subjects/Keywords: Computational Attention; Convolutional Neural Networks; Reccurent Neural Networks; Neural Networks; Image-Based Camera Localization

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APA (6th Edition):

Joseph, T. (2019). Joint spatial and layer attention for convolutional networks. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/1061

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):

Joseph, Tony. “Joint spatial and layer attention for convolutional networks.” 2019. Thesis, University of Ontario Institute of Technology. Accessed September 19, 2020. http://hdl.handle.net/10155/1061.

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

MLA Handbook (7th Edition):

Joseph, Tony. “Joint spatial and layer attention for convolutional networks.” 2019. Web. 19 Sep 2020.

Vancouver:

Joseph T. Joint spatial and layer attention for convolutional networks. [Internet] [Thesis]. University of Ontario Institute of Technology; 2019. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/10155/1061.

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

Council of Science Editors:

Joseph T. Joint spatial and layer attention for convolutional networks. [Thesis]. University of Ontario Institute of Technology; 2019. Available from: http://hdl.handle.net/10155/1061

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


Ryerson University

9. 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 September 19, 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. 19 Sep 2020.

Vancouver:

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


Anna University

10. Ashok V. Certain investigations on noninvasive optical blood glucose concentration prediction system using modified haar wavelet transform and neural networks;.

Degree: noninvasive optical blood glucose concentration prediction system using modified haar wavelet transform and neural networks, 2014, Anna University

Diabetes Mellitus is the most well known Constitutional disorder of newlineCarbohydrates Metabolism characterized by inadequate Secretion or newlineutilization of insulin This disorder condition reduces the… (more)

Subjects/Keywords: neural networks; noninvasive; optical blood

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APA (6th Edition):

V, A. (2014). Certain investigations on noninvasive optical blood glucose concentration prediction system using modified haar wavelet transform and neural networks;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/22940

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

Chicago Manual of Style (16th Edition):

V, Ashok. “Certain investigations on noninvasive optical blood glucose concentration prediction system using modified haar wavelet transform and neural networks;.” 2014. Thesis, Anna University. Accessed September 19, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/22940.

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

MLA Handbook (7th Edition):

V, Ashok. “Certain investigations on noninvasive optical blood glucose concentration prediction system using modified haar wavelet transform and neural networks;.” 2014. Web. 19 Sep 2020.

Vancouver:

V A. Certain investigations on noninvasive optical blood glucose concentration prediction system using modified haar wavelet transform and neural networks;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Sep 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/22940.

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

Council of Science Editors:

V A. Certain investigations on noninvasive optical blood glucose concentration prediction system using modified haar wavelet transform and neural networks;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/22940

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

11. Vieira, Lucimar Sasso. Conversão de voz baseada na transformada wavelet.

Degree: Mestrado, Física Aplicada, 2007, University of São Paulo

Dentre as inúmeras técnicas de conversão de voz utilizadas atualmente, aquelas baseadas em bancos de filtros wavelet, associadas com redes neurais artificiais,têm se destacado. Este… (more)

Subjects/Keywords: Neural networks; Voice conversion; Wavelets

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APA (6th Edition):

Vieira, L. S. (2007). Conversão de voz baseada na transformada wavelet. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/76/76132/tde-05092007-192622/ ;

Chicago Manual of Style (16th Edition):

Vieira, Lucimar Sasso. “Conversão de voz baseada na transformada wavelet.” 2007. Masters Thesis, University of São Paulo. Accessed September 19, 2020. http://www.teses.usp.br/teses/disponiveis/76/76132/tde-05092007-192622/ ;.

MLA Handbook (7th Edition):

Vieira, Lucimar Sasso. “Conversão de voz baseada na transformada wavelet.” 2007. Web. 19 Sep 2020.

Vancouver:

Vieira LS. Conversão de voz baseada na transformada wavelet. [Internet] [Masters thesis]. University of São Paulo; 2007. [cited 2020 Sep 19]. Available from: http://www.teses.usp.br/teses/disponiveis/76/76132/tde-05092007-192622/ ;.

Council of Science Editors:

Vieira LS. Conversão de voz baseada na transformada wavelet. [Masters Thesis]. University of São Paulo; 2007. Available from: http://www.teses.usp.br/teses/disponiveis/76/76132/tde-05092007-192622/ ;

12. Σταθοπούλου, Δήμητρα. Σύγκριση μεθόδων εκπαίδευσης τεχνητών νευρωνικών δικτύων.

Degree: 2010, University of Patras

Η παρούσα διπλωματική εργασία αποσκοπεί στη μελέτη και την εκπαίδευση των Τεχνητών Νευρωνικών Δικτύων με τη βοήθεια γνωστών μεθόδων, όπως τη μέθοδο όπισθεν διάδοσης σφάλματος… (more)

Subjects/Keywords: Νευρωνικά δίκτυα; 006.32; Neural networks

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APA (6th Edition):

Σταθοπούλου, . (2010). Σύγκριση μεθόδων εκπαίδευσης τεχνητών νευρωνικών δικτύων. (Masters Thesis). University of Patras. Retrieved from http://nemertes.lis.upatras.gr/jspui/handle/10889/4419

Chicago Manual of Style (16th Edition):

Σταθοπούλου, Δήμητρα. “Σύγκριση μεθόδων εκπαίδευσης τεχνητών νευρωνικών δικτύων.” 2010. Masters Thesis, University of Patras. Accessed September 19, 2020. http://nemertes.lis.upatras.gr/jspui/handle/10889/4419.

MLA Handbook (7th Edition):

Σταθοπούλου, Δήμητρα. “Σύγκριση μεθόδων εκπαίδευσης τεχνητών νευρωνικών δικτύων.” 2010. Web. 19 Sep 2020.

Vancouver:

Σταθοπούλου . Σύγκριση μεθόδων εκπαίδευσης τεχνητών νευρωνικών δικτύων. [Internet] [Masters thesis]. University of Patras; 2010. [cited 2020 Sep 19]. Available from: http://nemertes.lis.upatras.gr/jspui/handle/10889/4419.

Council of Science Editors:

Σταθοπούλου . Σύγκριση μεθόδων εκπαίδευσης τεχνητών νευρωνικών δικτύων. [Masters Thesis]. University of Patras; 2010. Available from: http://nemertes.lis.upatras.gr/jspui/handle/10889/4419


University of Michigan

13. 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 September 19, 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. 19 Sep 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 Sep 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

14. Beaty, Roger E. Brain networks underlying figurative language production.

Degree: 2015, NC Docks

 Metaphor is a common form of figurative language, yet little is known about how the brain produces novel figurative expressions. Related research suggests that dynamic… (more)

Subjects/Keywords: Neural networks (Neurobiology); Neurolinguistics; Metaphor

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APA (6th Edition):

Beaty, R. E. (2015). Brain networks underlying figurative language production. (Thesis). NC Docks. Retrieved from http://libres.uncg.edu/ir/uncg/f/Beaty_uncg_0154D_11750.pdf

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):

Beaty, Roger E. “Brain networks underlying figurative language production.” 2015. Thesis, NC Docks. Accessed September 19, 2020. http://libres.uncg.edu/ir/uncg/f/Beaty_uncg_0154D_11750.pdf.

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

MLA Handbook (7th Edition):

Beaty, Roger E. “Brain networks underlying figurative language production.” 2015. Web. 19 Sep 2020.

Vancouver:

Beaty RE. Brain networks underlying figurative language production. [Internet] [Thesis]. NC Docks; 2015. [cited 2020 Sep 19]. Available from: http://libres.uncg.edu/ir/uncg/f/Beaty_uncg_0154D_11750.pdf.

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

Council of Science Editors:

Beaty RE. Brain networks underlying figurative language production. [Thesis]. NC Docks; 2015. Available from: http://libres.uncg.edu/ir/uncg/f/Beaty_uncg_0154D_11750.pdf

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

15. Samidurai, R. Studies and stability of non linear impulsive neural networks; -.

Degree: Mathematics, 2010, Periyar University

Abstract available in image PDF

References p.116-130

Advisors/Committee Members: Marshal, Anthoni S.

Subjects/Keywords: Neural Networks

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APA (6th Edition):

Samidurai, R. (2010). Studies and stability of non linear impulsive neural networks; -. (Thesis). Periyar University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/5208

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):

Samidurai, R. “Studies and stability of non linear impulsive neural networks; -.” 2010. Thesis, Periyar University. Accessed September 19, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/5208.

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

MLA Handbook (7th Edition):

Samidurai, R. “Studies and stability of non linear impulsive neural networks; -.” 2010. Web. 19 Sep 2020.

Vancouver:

Samidurai R. Studies and stability of non linear impulsive neural networks; -. [Internet] [Thesis]. Periyar University; 2010. [cited 2020 Sep 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/5208.

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

Council of Science Editors:

Samidurai R. Studies and stability of non linear impulsive neural networks; -. [Thesis]. Periyar University; 2010. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/5208

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

16. Sujatha P. Image steganalysis using artificial neural networks.

Degree: Computing Sciences, 2013, Vels University

This research work presents the steganalysis of steganographic images under predefined way of hiding information. Hiding information in the cover image is done by different… (more)

Subjects/Keywords: Computing Sciences; Artificial Neural Networks

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APA (6th Edition):

P, S. (2013). Image steganalysis using artificial neural networks. (Thesis). Vels University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/8912

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):

P, Sujatha. “Image steganalysis using artificial neural networks.” 2013. Thesis, Vels University. Accessed September 19, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/8912.

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

MLA Handbook (7th Edition):

P, Sujatha. “Image steganalysis using artificial neural networks.” 2013. Web. 19 Sep 2020.

Vancouver:

P S. Image steganalysis using artificial neural networks. [Internet] [Thesis]. Vels University; 2013. [cited 2020 Sep 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/8912.

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

Council of Science Editors:

P S. Image steganalysis using artificial neural networks. [Thesis]. Vels University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/8912

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


Nelson Mandela Metropolitan University

17. 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 September 19, 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. 19 Sep 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 Sep 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


Texas A&M University

18. Annan, Carl Ashie. Neural Network-Based Noise Suppressor and Predictor for Quantifying Valve Stiction in Oscillatory Control Loops.

Degree: MS, Chemical Engineering, 2014, Texas A&M University

 Valve stiction-induced oscillations in chemical processing systems adversely affects control loop performance and can degrade the quality of products. Estimating the degree of stiction in… (more)

Subjects/Keywords: Neural Networks; Stiction; NLPCA

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APA (6th Edition):

Annan, C. A. (2014). Neural Network-Based Noise Suppressor and Predictor for Quantifying Valve Stiction in Oscillatory Control Loops. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/154110

Chicago Manual of Style (16th Edition):

Annan, Carl Ashie. “Neural Network-Based Noise Suppressor and Predictor for Quantifying Valve Stiction in Oscillatory Control Loops.” 2014. Masters Thesis, Texas A&M University. Accessed September 19, 2020. http://hdl.handle.net/1969.1/154110.

MLA Handbook (7th Edition):

Annan, Carl Ashie. “Neural Network-Based Noise Suppressor and Predictor for Quantifying Valve Stiction in Oscillatory Control Loops.” 2014. Web. 19 Sep 2020.

Vancouver:

Annan CA. Neural Network-Based Noise Suppressor and Predictor for Quantifying Valve Stiction in Oscillatory Control Loops. [Internet] [Masters thesis]. Texas A&M University; 2014. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/1969.1/154110.

Council of Science Editors:

Annan CA. Neural Network-Based Noise Suppressor and Predictor for Quantifying Valve Stiction in Oscillatory Control Loops. [Masters Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/154110


Texas A&M University

19. Story, Brett. Structural Impairment Detection Using Arrays of Competitive Artificial Neural Networks.

Degree: PhD, Civil Engineering, 2012, Texas A&M University

 Aging railroad bridge infrastructure is subject to increasingly higher demands such as heavier loads, increased speed, and increased frequency of traffic. The challenges facing railroad… (more)

Subjects/Keywords: Neural Networks; Bridge Engineering

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APA (6th Edition):

Story, B. (2012). Structural Impairment Detection Using Arrays of Competitive Artificial Neural Networks. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11088

Chicago Manual of Style (16th Edition):

Story, Brett. “Structural Impairment Detection Using Arrays of Competitive Artificial Neural Networks.” 2012. Doctoral Dissertation, Texas A&M University. Accessed September 19, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11088.

MLA Handbook (7th Edition):

Story, Brett. “Structural Impairment Detection Using Arrays of Competitive Artificial Neural Networks.” 2012. Web. 19 Sep 2020.

Vancouver:

Story B. Structural Impairment Detection Using Arrays of Competitive Artificial Neural Networks. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11088.

Council of Science Editors:

Story B. Structural Impairment Detection Using Arrays of Competitive Artificial Neural Networks. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11088


McMaster University

20. Finnegan, Rory. Computational Modelling of Adult Hippocampal Neurogenesis.

Degree: MSc, 2016, McMaster University

The hippocampus has been the focus of memory research for decades. While the functional role of this structure is not fully understood, it is widely… (more)

Subjects/Keywords: Hippocampus; Neurogenesis; Modelling; Neural Networks

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APA (6th Edition):

Finnegan, R. (2016). Computational Modelling of Adult Hippocampal Neurogenesis. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/20666

Chicago Manual of Style (16th Edition):

Finnegan, Rory. “Computational Modelling of Adult Hippocampal Neurogenesis.” 2016. Masters Thesis, McMaster University. Accessed September 19, 2020. http://hdl.handle.net/11375/20666.

MLA Handbook (7th Edition):

Finnegan, Rory. “Computational Modelling of Adult Hippocampal Neurogenesis.” 2016. Web. 19 Sep 2020.

Vancouver:

Finnegan R. Computational Modelling of Adult Hippocampal Neurogenesis. [Internet] [Masters thesis]. McMaster University; 2016. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/11375/20666.

Council of Science Editors:

Finnegan R. Computational Modelling of Adult Hippocampal Neurogenesis. [Masters Thesis]. McMaster University; 2016. Available from: http://hdl.handle.net/11375/20666


Texas A&M University

21. Mahadevuni, Amarnath. Autonomous Navigation Using Reinforcement Learning with Spiking Neural Networks.

Degree: MS, Computer Engineering, 2018, Texas A&M University

 The autonomous navigation of mobile robots is of great interest in mobile robotics. Algorithms such as simultaneous localization and mapping (SLAM) and artificial potential field… (more)

Subjects/Keywords: Autonomous navigation; Spiking Neural Networks

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APA (6th Edition):

Mahadevuni, A. (2018). Autonomous Navigation Using Reinforcement Learning with Spiking Neural Networks. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173294

Chicago Manual of Style (16th Edition):

Mahadevuni, Amarnath. “Autonomous Navigation Using Reinforcement Learning with Spiking Neural Networks.” 2018. Masters Thesis, Texas A&M University. Accessed September 19, 2020. http://hdl.handle.net/1969.1/173294.

MLA Handbook (7th Edition):

Mahadevuni, Amarnath. “Autonomous Navigation Using Reinforcement Learning with Spiking Neural Networks.” 2018. Web. 19 Sep 2020.

Vancouver:

Mahadevuni A. Autonomous Navigation Using Reinforcement Learning with Spiking Neural Networks. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/1969.1/173294.

Council of Science Editors:

Mahadevuni A. Autonomous Navigation Using Reinforcement Learning with Spiking Neural Networks. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173294


Penn State University

22. Shihab, Rizvi. DEVELOPMENT AND TESTING OF AN EXPERT SYSTEM USING ARTIFICIAL NEURAL NETWORKS FOR A FORWARD IN-SITU COMBUSTION PROCESS .

Degree: 2011, Penn State University

 The main topic of the research is the enhanced oil recovery (EOR) method of forward dry in-situ combustion (ISC). ISC is an EOR method used… (more)

Subjects/Keywords: in-situ combustion neural networks

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APA (6th Edition):

Shihab, R. (2011). DEVELOPMENT AND TESTING OF AN EXPERT SYSTEM USING ARTIFICIAL NEURAL NETWORKS FOR A FORWARD IN-SITU COMBUSTION PROCESS . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/12040

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):

Shihab, Rizvi. “DEVELOPMENT AND TESTING OF AN EXPERT SYSTEM USING ARTIFICIAL NEURAL NETWORKS FOR A FORWARD IN-SITU COMBUSTION PROCESS .” 2011. Thesis, Penn State University. Accessed September 19, 2020. https://submit-etda.libraries.psu.edu/catalog/12040.

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

MLA Handbook (7th Edition):

Shihab, Rizvi. “DEVELOPMENT AND TESTING OF AN EXPERT SYSTEM USING ARTIFICIAL NEURAL NETWORKS FOR A FORWARD IN-SITU COMBUSTION PROCESS .” 2011. Web. 19 Sep 2020.

Vancouver:

Shihab R. DEVELOPMENT AND TESTING OF AN EXPERT SYSTEM USING ARTIFICIAL NEURAL NETWORKS FOR A FORWARD IN-SITU COMBUSTION PROCESS . [Internet] [Thesis]. Penn State University; 2011. [cited 2020 Sep 19]. Available from: https://submit-etda.libraries.psu.edu/catalog/12040.

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

Council of Science Editors:

Shihab R. DEVELOPMENT AND TESTING OF AN EXPERT SYSTEM USING ARTIFICIAL NEURAL NETWORKS FOR A FORWARD IN-SITU COMBUSTION PROCESS . [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/12040

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


Rochester Institute of Technology

23. Golwalla, Arif K. A Hardware approach to neural networks silicon retina.

Degree: Computer Engineering, 1994, Rochester Institute of Technology

 The primary goal of this thesis was to emulate the function of the biological eye in silicon. In both neural and silicon technologies, the active… (more)

Subjects/Keywords: Neural networks

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APA (6th Edition):

Golwalla, A. K. (1994). A Hardware approach to neural networks silicon retina. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/4617

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):

Golwalla, Arif K. “A Hardware approach to neural networks silicon retina.” 1994. Thesis, Rochester Institute of Technology. Accessed September 19, 2020. https://scholarworks.rit.edu/theses/4617.

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

MLA Handbook (7th Edition):

Golwalla, Arif K. “A Hardware approach to neural networks silicon retina.” 1994. Web. 19 Sep 2020.

Vancouver:

Golwalla AK. A Hardware approach to neural networks silicon retina. [Internet] [Thesis]. Rochester Institute of Technology; 1994. [cited 2020 Sep 19]. Available from: https://scholarworks.rit.edu/theses/4617.

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

Council of Science Editors:

Golwalla AK. A Hardware approach to neural networks silicon retina. [Thesis]. Rochester Institute of Technology; 1994. Available from: https://scholarworks.rit.edu/theses/4617

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


University of Johannesburg

24. 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 September 19, 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. 19 Sep 2020.

Vancouver:

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


Vilnius University

25. Vasiliauskaitė, Vilma. Spiečiaus intelekto taikymo finansų rinkose analizė ir optimizavimas.

Degree: Master, 2014, Vilnius University

Prekiaujant vertybiniais popieriais, svarbiausia yra priimti teisingą sprendimą: pirkti arba parduoti. Daugelis investuotojų prieš priimdami sprendimą atkreipia dėmesį į pasirinktos akcijos kainos kitimo grafiką ir… (more)

Subjects/Keywords: Swarm Intelligent; Neural networks

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APA (6th Edition):

Vasiliauskaitė, V. (2014). Spiečiaus intelekto taikymo finansų rinkose analizė ir optimizavimas. (Masters Thesis). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2008~D_20140623_183138-57850 ;

Chicago Manual of Style (16th Edition):

Vasiliauskaitė, Vilma. “Spiečiaus intelekto taikymo finansų rinkose analizė ir optimizavimas.” 2014. Masters Thesis, Vilnius University. Accessed September 19, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2008~D_20140623_183138-57850 ;.

MLA Handbook (7th Edition):

Vasiliauskaitė, Vilma. “Spiečiaus intelekto taikymo finansų rinkose analizė ir optimizavimas.” 2014. Web. 19 Sep 2020.

Vancouver:

Vasiliauskaitė V. Spiečiaus intelekto taikymo finansų rinkose analizė ir optimizavimas. [Internet] [Masters thesis]. Vilnius University; 2014. [cited 2020 Sep 19]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2008~D_20140623_183138-57850 ;.

Council of Science Editors:

Vasiliauskaitė V. Spiečiaus intelekto taikymo finansų rinkose analizė ir optimizavimas. [Masters Thesis]. Vilnius University; 2014. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2008~D_20140623_183138-57850 ;


University of Toronto

26. Tryphonas, Marinos. Modeling Hedge Fund Performance Using Neural Network Models.

Degree: 2012, University of Toronto

Hedge fund performance is modeled from publically available data using feed-forward neural networks trained using a resilient backpropagation algorithm. The neural network’s performance is then… (more)

Subjects/Keywords: Neural Networks; Hedge Funds; 0542

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APA (6th Edition):

Tryphonas, M. (2012). Modeling Hedge Fund Performance Using Neural Network Models. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/32497

Chicago Manual of Style (16th Edition):

Tryphonas, Marinos. “Modeling Hedge Fund Performance Using Neural Network Models.” 2012. Masters Thesis, University of Toronto. Accessed September 19, 2020. http://hdl.handle.net/1807/32497.

MLA Handbook (7th Edition):

Tryphonas, Marinos. “Modeling Hedge Fund Performance Using Neural Network Models.” 2012. Web. 19 Sep 2020.

Vancouver:

Tryphonas M. Modeling Hedge Fund Performance Using Neural Network Models. [Internet] [Masters thesis]. University of Toronto; 2012. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/1807/32497.

Council of Science Editors:

Tryphonas M. Modeling Hedge Fund Performance Using Neural Network Models. [Masters Thesis]. University of Toronto; 2012. Available from: http://hdl.handle.net/1807/32497

27. Bowley, Connor Ryan. Training Convolutional Neural Networks Using An Automated Feedback Loop To Estimate The Population Of Avian Species.

Degree: MS, Computer Science, 2017, University of North Dakota

  Using automated processes to detect wildlife in uncontrolled outdoor imagery in the field of wildlife ecology is challenging task. This is especially true in… (more)

Subjects/Keywords: Convolutional Neural Networks; Image Processing

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APA (6th Edition):

Bowley, C. R. (2017). Training Convolutional Neural Networks Using An Automated Feedback Loop To Estimate The Population Of Avian Species. (Masters Thesis). University of North Dakota. Retrieved from https://commons.und.edu/theses/2173

Chicago Manual of Style (16th Edition):

Bowley, Connor Ryan. “Training Convolutional Neural Networks Using An Automated Feedback Loop To Estimate The Population Of Avian Species.” 2017. Masters Thesis, University of North Dakota. Accessed September 19, 2020. https://commons.und.edu/theses/2173.

MLA Handbook (7th Edition):

Bowley, Connor Ryan. “Training Convolutional Neural Networks Using An Automated Feedback Loop To Estimate The Population Of Avian Species.” 2017. Web. 19 Sep 2020.

Vancouver:

Bowley CR. Training Convolutional Neural Networks Using An Automated Feedback Loop To Estimate The Population Of Avian Species. [Internet] [Masters thesis]. University of North Dakota; 2017. [cited 2020 Sep 19]. Available from: https://commons.und.edu/theses/2173.

Council of Science Editors:

Bowley CR. Training Convolutional Neural Networks Using An Automated Feedback Loop To Estimate The Population Of Avian Species. [Masters Thesis]. University of North Dakota; 2017. Available from: https://commons.und.edu/theses/2173


Oregon State University

28. 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 September 19, 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. 19 Sep 2020.

Vancouver:

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


University of Windsor

29. Talaei, Amir Javid. Pattern Recognition Using Spiking Neural Networks.

Degree: MA, Electrical and Computer Engineering, 2020, University of Windsor

 Deep learning believed to be a promising approach for solving specific problems in the field of artificial intelligence whenever a large amount of data and… (more)

Subjects/Keywords: Pattern Recognition; Spiking Neural Networks

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APA (6th Edition):

Talaei, A. J. (2020). Pattern Recognition Using Spiking Neural Networks. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/8402

Chicago Manual of Style (16th Edition):

Talaei, Amir Javid. “Pattern Recognition Using Spiking Neural Networks.” 2020. Masters Thesis, University of Windsor. Accessed September 19, 2020. https://scholar.uwindsor.ca/etd/8402.

MLA Handbook (7th Edition):

Talaei, Amir Javid. “Pattern Recognition Using Spiking Neural Networks.” 2020. Web. 19 Sep 2020.

Vancouver:

Talaei AJ. Pattern Recognition Using Spiking Neural Networks. [Internet] [Masters thesis]. University of Windsor; 2020. [cited 2020 Sep 19]. Available from: https://scholar.uwindsor.ca/etd/8402.

Council of Science Editors:

Talaei AJ. Pattern Recognition Using Spiking Neural Networks. [Masters Thesis]. University of Windsor; 2020. Available from: https://scholar.uwindsor.ca/etd/8402


Oregon State University

30. 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 September 19, 2020. http://hdl.handle.net/1957/60029.

MLA Handbook (7th Edition):

Cross, James Henry III. “Parsing with Recurrent Neural Networks.” 2016. Web. 19 Sep 2020.

Vancouver:

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

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