Presentation | 1994/10/13 Adaptive Conjugate Gradient Algorithm and its application to BP learning Masayuki Gotoh, Nobuhiko Tawara, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | BP learning algorithm from Conjugate Gradient Method is effective method for high speed learning,However,in this method, problem which it depends on an initial setting of network parameter values should be mentioned.We,therefore,propose a learning algorithm with high accuracy based on Conjugate Gradient Method.The algorithm is based on "improved formiula" to create a conjugate direction and can search adapting parameter j.We call the proposed algorithm "Adaptive Conjugate Gradient algorithm. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Conjugate Gradient Method / Nonlinear programming / Backpropagation / Neural Networks |
Paper # | NC94-37 |
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Committee | NC |
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Conference Date | 1994/10/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Adaptive Conjugate Gradient Algorithm and its application to BP learning |
Sub Title (in English) | |
Keyword(1) | Conjugate Gradient Method |
Keyword(2) | Nonlinear programming |
Keyword(3) | Backpropagation |
Keyword(4) | Neural Networks |
1st Author's Name | Masayuki Gotoh |
1st Author's Affiliation | Department of IE and Management,School of Science and Engineering, Waseda University() |
2nd Author's Name | Nobuhiko Tawara |
2nd Author's Affiliation | Department of Industrial Engineering,Faculty of Engineering, Musashi Institute of Technology |
Date | 1994/10/13 |
Paper # | NC94-37 |
Volume (vol) | vol.94 |
Number (no) | 272 |
Page | pp.pp.- |
#Pages | 8 |
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