Learning algorithms for neural networks
This thesis deals mainly with the development of new learning algorithms and the study of the dynamics of neural networks. We develop a method for training feedback neural networks. Appropriate stability conditions are derived, and learning is performed by the gradient descent technique. We develop...
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Format: | Others |
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1991
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Online Access: | https://thesis.library.caltech.edu/3725/1/Atiya_a_1991.pdf Atiya, Amir (1991) Learning algorithms for neural networks. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/F46C-3V67. https://resolver.caltech.edu/CaltechETD:etd-09232005-083502 <https://resolver.caltech.edu/CaltechETD:etd-09232005-083502> |
Internet
https://thesis.library.caltech.edu/3725/1/Atiya_a_1991.pdfAtiya, Amir (1991) Learning algorithms for neural networks. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/F46C-3V67. https://resolver.caltech.edu/CaltechETD:etd-09232005-083502 <https://resolver.caltech.edu/CaltechETD:etd-09232005-083502>