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You searched for subject:(Neural Networks). Showing records 1 – 30 of 4773 total matches.

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University of Johannesburg

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

Degree: 2014, University of Johannesburg

M.Ing. (Electrical And Electronic Engineering)

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

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

De Wet, Anton Petrus Christiaan. “An incremental learning system for artificial neural networks.” 2014. Thesis, University of Johannesburg. Accessed June 05, 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. 05 Jun 2020.

Vancouver:

De Wet APC. An incremental learning system for artificial neural networks. [Internet] [Thesis]. University of Johannesburg; 2014. [cited 2020 Jun 05]. 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

2. 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 June 05, 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. 05 Jun 2020.

Vancouver:

Bekolay T. Learning in large-scale spiking neural networks. [Internet] [Thesis]. University of Waterloo; 2011. [cited 2020 Jun 05]. 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 Georgia

3. Crowell, Kevin Lee. Precipitation prediction using artificial neural networks.

Degree: MS, Artificial Intelligence, 2008, University of Georgia

 Precipitation, in meteorology, is defined as any product, liquid or solid, of atmospheric water vapor that is accumulated onto the earth’s surface. Water, and thus… (more)

Subjects/Keywords: Artificial Neural Networks

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APA (6th Edition):

Crowell, K. L. (2008). Precipitation prediction using artificial neural networks. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/crowell_kevin_l_200812_ms

Chicago Manual of Style (16th Edition):

Crowell, Kevin Lee. “Precipitation prediction using artificial neural networks.” 2008. Masters Thesis, University of Georgia. Accessed June 05, 2020. http://purl.galileo.usg.edu/uga_etd/crowell_kevin_l_200812_ms.

MLA Handbook (7th Edition):

Crowell, Kevin Lee. “Precipitation prediction using artificial neural networks.” 2008. Web. 05 Jun 2020.

Vancouver:

Crowell KL. Precipitation prediction using artificial neural networks. [Internet] [Masters thesis]. University of Georgia; 2008. [cited 2020 Jun 05]. Available from: http://purl.galileo.usg.edu/uga_etd/crowell_kevin_l_200812_ms.

Council of Science Editors:

Crowell KL. Precipitation prediction using artificial neural networks. [Masters Thesis]. University of Georgia; 2008. Available from: http://purl.galileo.usg.edu/uga_etd/crowell_kevin_l_200812_ms


University of Georgia

4. Martin, Charles Maxwell. Crop yield prediction using artificial neural networks and genetic algorithms.

Degree: MS, Artificial Intelligence, 2009, University of Georgia

 Previous research has established that large-scale climatological phenomena influence local weather conditions in various parts of the world. These weather conditions have a direct effect… (more)

Subjects/Keywords: Artificial Neural Networks

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APA (6th Edition):

Martin, C. M. (2009). Crop yield prediction using artificial neural networks and genetic algorithms. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/martin_charles_m_200912_ms

Chicago Manual of Style (16th Edition):

Martin, Charles Maxwell. “Crop yield prediction using artificial neural networks and genetic algorithms.” 2009. Masters Thesis, University of Georgia. Accessed June 05, 2020. http://purl.galileo.usg.edu/uga_etd/martin_charles_m_200912_ms.

MLA Handbook (7th Edition):

Martin, Charles Maxwell. “Crop yield prediction using artificial neural networks and genetic algorithms.” 2009. Web. 05 Jun 2020.

Vancouver:

Martin CM. Crop yield prediction using artificial neural networks and genetic algorithms. [Internet] [Masters thesis]. University of Georgia; 2009. [cited 2020 Jun 05]. Available from: http://purl.galileo.usg.edu/uga_etd/martin_charles_m_200912_ms.

Council of Science Editors:

Martin CM. Crop yield prediction using artificial neural networks and genetic algorithms. [Masters Thesis]. University of Georgia; 2009. Available from: http://purl.galileo.usg.edu/uga_etd/martin_charles_m_200912_ms


University of Toronto

5. 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 June 05, 2020. http://hdl.handle.net/1807/68420.

MLA Handbook (7th Edition):

Tieleman, Tijmen. “Optimizing Neural Networks that Generate Iimages.” 2014. Web. 05 Jun 2020.

Vancouver:

Tieleman T. Optimizing Neural Networks that Generate Iimages. [Internet] [Doctoral dissertation]. University of Toronto; 2014. [cited 2020 Jun 05]. 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


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 June 05, 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. 05 Jun 2020.

Vancouver:

Edwards R. Neural networks and neural fields: discrete and continuous space neural models. [Internet] [Thesis]. University of Victoria; 2018. [cited 2020 Jun 05]. 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


Bucknell University

7. 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 June 05, 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. 05 Jun 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 Jun 05]. 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


NSYSU

8. 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 June 05, 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. 05 Jun 2020.

Vancouver:

Wang H. The Impacts of Image Contexts on Dialogue Systems. [Internet] [Thesis]. NSYSU; 2018. [cited 2020 Jun 05]. 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

9. 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 June 05, 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. 05 Jun 2020.

Vancouver:

Joseph T. Joint spatial and layer attention for convolutional networks. [Internet] [Thesis]. University of Ontario Institute of Technology; 2019. [cited 2020 Jun 05]. 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


University of Georgia

10. Ramyaa, Ramyaa. Frost prediction using Artificial Neural Networks: a classification approach.

Degree: MS, Artificial Intelligence, 2004, University of Georgia

 Air temperatures below freezing can damage plants. Irrigation is the most widely practiced frost protection measure. However, growers need information about when to start irrigating,… (more)

Subjects/Keywords: Neural Networks

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APA (6th Edition):

Ramyaa, R. (2004). Frost prediction using Artificial Neural Networks: a classification approach. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/ramyaa_ramyaa_200408_ms2

Chicago Manual of Style (16th Edition):

Ramyaa, Ramyaa. “Frost prediction using Artificial Neural Networks: a classification approach.” 2004. Masters Thesis, University of Georgia. Accessed June 05, 2020. http://purl.galileo.usg.edu/uga_etd/ramyaa_ramyaa_200408_ms2.

MLA Handbook (7th Edition):

Ramyaa, Ramyaa. “Frost prediction using Artificial Neural Networks: a classification approach.” 2004. Web. 05 Jun 2020.

Vancouver:

Ramyaa R. Frost prediction using Artificial Neural Networks: a classification approach. [Internet] [Masters thesis]. University of Georgia; 2004. [cited 2020 Jun 05]. Available from: http://purl.galileo.usg.edu/uga_etd/ramyaa_ramyaa_200408_ms2.

Council of Science Editors:

Ramyaa R. Frost prediction using Artificial Neural Networks: a classification approach. [Masters Thesis]. University of Georgia; 2004. Available from: http://purl.galileo.usg.edu/uga_etd/ramyaa_ramyaa_200408_ms2


Penn State University

11. Shihab, Rizvi. DEVELOPMENT AND TESTING OF AN EXPERT SYSTEM.

Degree: MS, Petroleum and Natural Gas Engineering, 2010, 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. (2010). DEVELOPMENT AND TESTING OF AN EXPERT SYSTEM. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/12040

Chicago Manual of Style (16th Edition):

Shihab, Rizvi. “DEVELOPMENT AND TESTING OF AN EXPERT SYSTEM.” 2010. Masters Thesis, Penn State University. Accessed June 05, 2020. https://etda.libraries.psu.edu/catalog/12040.

MLA Handbook (7th Edition):

Shihab, Rizvi. “DEVELOPMENT AND TESTING OF AN EXPERT SYSTEM.” 2010. Web. 05 Jun 2020.

Vancouver:

Shihab R. DEVELOPMENT AND TESTING OF AN EXPERT SYSTEM. [Internet] [Masters thesis]. Penn State University; 2010. [cited 2020 Jun 05]. Available from: https://etda.libraries.psu.edu/catalog/12040.

Council of Science Editors:

Shihab R. DEVELOPMENT AND TESTING OF AN EXPERT SYSTEM. [Masters Thesis]. Penn State University; 2010. Available from: https://etda.libraries.psu.edu/catalog/12040


Ryerson University

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

Degree: 2016, Ryerson University

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

Subjects/Keywords: Neural networks (Computer science)

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Harley, Adam W. “Segmentation-aware convolutional nets.” 2016. Thesis, Ryerson University. Accessed June 05, 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. 05 Jun 2020.

Vancouver:

Harley AW. Segmentation-aware convolutional nets. [Internet] [Thesis]. Ryerson University; 2016. [cited 2020 Jun 05]. 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


University of Saskatchewan

13. Mondol, Joel-Ahmed Mubashshar. Neural networks approach towards determining Flax-Biocomposites composition and processing parameters.

Degree: 2009, University of Saskatchewan

 This research introduces neural networks (NN) as a novel approach towards aiding biocomposite materials processing. At its core, the aim of the research was to… (more)

Subjects/Keywords: Neural networks; Biocomposites; Materials

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APA (6th Edition):

Mondol, J. M. (2009). Neural networks approach towards determining Flax-Biocomposites composition and processing parameters. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/etd-10272009-193427

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):

Mondol, Joel-Ahmed Mubashshar. “Neural networks approach towards determining Flax-Biocomposites composition and processing parameters.” 2009. Thesis, University of Saskatchewan. Accessed June 05, 2020. http://hdl.handle.net/10388/etd-10272009-193427.

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

MLA Handbook (7th Edition):

Mondol, Joel-Ahmed Mubashshar. “Neural networks approach towards determining Flax-Biocomposites composition and processing parameters.” 2009. Web. 05 Jun 2020.

Vancouver:

Mondol JM. Neural networks approach towards determining Flax-Biocomposites composition and processing parameters. [Internet] [Thesis]. University of Saskatchewan; 2009. [cited 2020 Jun 05]. Available from: http://hdl.handle.net/10388/etd-10272009-193427.

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

Council of Science Editors:

Mondol JM. Neural networks approach towards determining Flax-Biocomposites composition and processing parameters. [Thesis]. University of Saskatchewan; 2009. Available from: http://hdl.handle.net/10388/etd-10272009-193427

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


Anna University

14. 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 June 05, 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. 05 Jun 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 Jun 05]. 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

15. 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 June 05, 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. 05 Jun 2020.

Vancouver:

Vieira LS. Conversão de voz baseada na transformada wavelet. [Internet] [Masters thesis]. University of São Paulo; 2007. [cited 2020 Jun 05]. 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/ ;


Texas A&M University

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

Degree: 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. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11088

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):

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

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

MLA Handbook (7th Edition):

Story, Brett. “Structural Impairment Detection Using Arrays of Competitive Artificial Neural Networks.” 2012. Web. 05 Jun 2020.

Vancouver:

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

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

Council of Science Editors:

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

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


Texas A&M University

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

Degree: 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. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/154110

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):

Annan, Carl Ashie. “Neural Network-Based Noise Suppressor and Predictor for Quantifying Valve Stiction in Oscillatory Control Loops.” 2014. Thesis, Texas A&M University. Accessed June 05, 2020. http://hdl.handle.net/1969.1/154110.

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

MLA Handbook (7th Edition):

Annan, Carl Ashie. “Neural Network-Based Noise Suppressor and Predictor for Quantifying Valve Stiction in Oscillatory Control Loops.” 2014. Web. 05 Jun 2020.

Vancouver:

Annan CA. Neural Network-Based Noise Suppressor and Predictor for Quantifying Valve Stiction in Oscillatory Control Loops. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2020 Jun 05]. Available from: http://hdl.handle.net/1969.1/154110.

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

Council of Science Editors:

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

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

18. Triastuti Sugiyarto, Endang. Analysing rounding data using radial basis function neural networks model.

Degree: PhD, 2007, University of Northampton

 Unspecified counting practices used in a data collection may create rounding to certain ‘based’ number that can have serious consequences on data quality. Statistical methods… (more)

Subjects/Keywords: 600; QA76.87 Neural networks

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APA (6th Edition):

Triastuti Sugiyarto, E. (2007). Analysing rounding data using radial basis function neural networks model. (Doctoral Dissertation). University of Northampton. Retrieved from http://nectar.northampton.ac.uk/2809/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.545825

Chicago Manual of Style (16th Edition):

Triastuti Sugiyarto, Endang. “Analysing rounding data using radial basis function neural networks model.” 2007. Doctoral Dissertation, University of Northampton. Accessed June 05, 2020. http://nectar.northampton.ac.uk/2809/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.545825.

MLA Handbook (7th Edition):

Triastuti Sugiyarto, Endang. “Analysing rounding data using radial basis function neural networks model.” 2007. Web. 05 Jun 2020.

Vancouver:

Triastuti Sugiyarto E. Analysing rounding data using radial basis function neural networks model. [Internet] [Doctoral dissertation]. University of Northampton; 2007. [cited 2020 Jun 05]. Available from: http://nectar.northampton.ac.uk/2809/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.545825.

Council of Science Editors:

Triastuti Sugiyarto E. Analysing rounding data using radial basis function neural networks model. [Doctoral Dissertation]. University of Northampton; 2007. Available from: http://nectar.northampton.ac.uk/2809/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.545825

19. 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 June 05, 2020. http://nemertes.lis.upatras.gr/jspui/handle/10889/4419.

MLA Handbook (7th Edition):

Σταθοπούλου, Δήμητρα. “Σύγκριση μεθόδων εκπαίδευσης τεχνητών νευρωνικών δικτύων.” 2010. Web. 05 Jun 2020.

Vancouver:

Σταθοπούλου . Σύγκριση μεθόδων εκπαίδευσης τεχνητών νευρωνικών δικτύων. [Internet] [Masters thesis]. University of Patras; 2010. [cited 2020 Jun 05]. 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

20. 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 June 05, 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. 05 Jun 2020.

Vancouver:

Samidurai R. Studies and stability of non linear impulsive neural networks; -. [Internet] [Thesis]. Periyar University; 2010. [cited 2020 Jun 05]. 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

21. 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 June 05, 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. 05 Jun 2020.

Vancouver:

P S. Image steganalysis using artificial neural networks. [Internet] [Thesis]. Vels University; 2013. [cited 2020 Jun 05]. 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

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

APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Pretorius, Christiaan Johannes. “Artificial neural networks as simulators for behavioural evolution in evolutionary robotics.” 2010. Masters Thesis, Nelson Mandela Metropolitan University. Accessed June 05, 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. 05 Jun 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 Jun 05]. 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 Aberdeen

23. Goetz, Thomas. From synapse to behaviour : selective modulation of neuronal networks.

Degree: 2008, University of Aberdeen

In this thesis, I describe the development of a novel method to selectively modulate neural activity cell-type selectively. Binding of Zolpidem, an allosteric modulator that enhances GABAa receptor function and the inverse agonist β-carboline, require a phenylalanine residue (F77) in the γ subunit.

Subjects/Keywords: 612.81; Neural networks (Neurobiology); GABA

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APA (6th Edition):

Goetz, T. (2008). From synapse to behaviour : selective modulation of neuronal networks. (Doctoral Dissertation). University of Aberdeen. Retrieved from http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=24802 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.493492

Chicago Manual of Style (16th Edition):

Goetz, Thomas. “From synapse to behaviour : selective modulation of neuronal networks.” 2008. Doctoral Dissertation, University of Aberdeen. Accessed June 05, 2020. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=24802 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.493492.

MLA Handbook (7th Edition):

Goetz, Thomas. “From synapse to behaviour : selective modulation of neuronal networks.” 2008. Web. 05 Jun 2020.

Vancouver:

Goetz T. From synapse to behaviour : selective modulation of neuronal networks. [Internet] [Doctoral dissertation]. University of Aberdeen; 2008. [cited 2020 Jun 05]. Available from: http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=24802 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.493492.

Council of Science Editors:

Goetz T. From synapse to behaviour : selective modulation of neuronal networks. [Doctoral Dissertation]. University of Aberdeen; 2008. Available from: http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=24802 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.493492


Rochester Institute of Technology

24. 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 June 05, 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. 05 Jun 2020.

Vancouver:

Golwalla AK. A Hardware approach to neural networks silicon retina. [Internet] [Thesis]. Rochester Institute of Technology; 1994. [cited 2020 Jun 05]. 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

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

Degree: 2012, University of Johannesburg

M.Ing.

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

Subjects/Keywords: Neural networks (Computer science)

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Lourens, Cecil Albert. “Recurrent neural networks in the chemical process industries.” 2012. Thesis, University of Johannesburg. Accessed June 05, 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. 05 Jun 2020.

Vancouver:

Lourens CA. Recurrent neural networks in the chemical process industries. [Internet] [Thesis]. University of Johannesburg; 2012. [cited 2020 Jun 05]. 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

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

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 June 05, 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. 05 Jun 2020.

Vancouver:

Vasiliauskaitė V. Spiečiaus intelekto taikymo finansų rinkose analizė ir optimizavimas. [Internet] [Masters thesis]. Vilnius University; 2014. [cited 2020 Jun 05]. 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 ;


Oregon State University

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

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

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Moore, Christopher (Chistopher Emory). “A recurrent neural network implementation using the graphics processing unit.” 2009. Masters Thesis, Oregon State University. Accessed June 05, 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. 05 Jun 2020.

Vancouver:

Moore C(E. A recurrent neural network implementation using the graphics processing unit. [Internet] [Masters thesis]. Oregon State University; 2009. [cited 2020 Jun 05]. 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


McMaster University

28. 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 June 05, 2020. http://hdl.handle.net/11375/20666.

MLA Handbook (7th Edition):

Finnegan, Rory. “Computational Modelling of Adult Hippocampal Neurogenesis.” 2016. Web. 05 Jun 2020.

Vancouver:

Finnegan R. Computational Modelling of Adult Hippocampal Neurogenesis. [Internet] [Masters thesis]. McMaster University; 2016. [cited 2020 Jun 05]. 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


Oregon State University

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

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

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

Subjects/Keywords: Neural networks (Computer science)

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Cross, James Henry III. “Parsing with Recurrent Neural Networks.” 2016. Doctoral Dissertation, Oregon State University. Accessed June 05, 2020. http://hdl.handle.net/1957/60029.

MLA Handbook (7th Edition):

Cross, James Henry III. “Parsing with Recurrent Neural Networks.” 2016. Web. 05 Jun 2020.

Vancouver:

Cross JHI. Parsing with Recurrent Neural Networks. [Internet] [Doctoral dissertation]. Oregon State University; 2016. [cited 2020 Jun 05]. 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


Universidade Nova

30. Oliveira, Inês Bruno de. Application of neural networks to the detection of fraud in workers’ compensation insurance : application to a Portuguese insurer.

Degree: 2018, Universidade Nova

 Insurance relies on a complex trust-based relationship in which a policyholder pays in advance to be protected in the future. In Portugal, workers’ compensation insurance… (more)

Subjects/Keywords: Risk; Fraud; Insurance; Neural Networks

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

APA (6th Edition):

Oliveira, I. B. d. (2018). Application of neural networks to the detection of fraud in workers’ compensation insurance : application to a Portuguese insurer. (Thesis). Universidade Nova. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/32561

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):

Oliveira, Inês Bruno de. “Application of neural networks to the detection of fraud in workers’ compensation insurance : application to a Portuguese insurer.” 2018. Thesis, Universidade Nova. Accessed June 05, 2020. https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/32561.

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

MLA Handbook (7th Edition):

Oliveira, Inês Bruno de. “Application of neural networks to the detection of fraud in workers’ compensation insurance : application to a Portuguese insurer.” 2018. Web. 05 Jun 2020.

Vancouver:

Oliveira IBd. Application of neural networks to the detection of fraud in workers’ compensation insurance : application to a Portuguese insurer. [Internet] [Thesis]. Universidade Nova; 2018. [cited 2020 Jun 05]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/32561.

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

Council of Science Editors:

Oliveira IBd. Application of neural networks to the detection of fraud in workers’ compensation insurance : application to a Portuguese insurer. [Thesis]. Universidade Nova; 2018. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/32561

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

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