Presentation | 2005-07-30 Characteristics of BP Neural Networks for Pattern Classification Hirohito SHINTANI, Masatake AKUTAGAWA, Hirofumi NAGASHINO, Yohsuke KINOUCHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | It is difficult to find that the neural network use where part of patterns for the recognition. Cause of that is nonlinearity of networks. This paper describes a recognition mechanism of a four layer backpropagation neural network using Alopex algorithm. We have developed a small scale four-layered neural network model for simple character recognition, which can recognize the patterns transformed by affine conversion. Alopex algorithm is an iterative and stochastic processing to minimize or maximize a cost function. By these methods the receptive fields of the units in the output layers are obtained. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | neural network / characteristics / back propagation / Alopex algorithm |
Paper # | MBE2005-53 |
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Committee | MBE |
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Conference Date | 2005/7/23(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | ME and Bio Cybernetics (MBE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Characteristics of BP Neural Networks for Pattern Classification |
Sub Title (in English) | |
Keyword(1) | neural network |
Keyword(2) | characteristics |
Keyword(3) | back propagation |
Keyword(4) | Alopex algorithm |
1st Author's Name | Hirohito SHINTANI |
1st Author's Affiliation | Faculty of Engineering, The Univ. of Tokushima() |
2nd Author's Name | Masatake AKUTAGAWA |
2nd Author's Affiliation | Faculty of Engineering, The Univ. of Tokushima |
3rd Author's Name | Hirofumi NAGASHINO |
3rd Author's Affiliation | School of health sciences, The Univ. of Tokushima |
4th Author's Name | Yohsuke KINOUCHI |
4th Author's Affiliation | Faculty of Engineering, The Univ. of Tokushima |
Date | 2005-07-30 |
Paper # | MBE2005-53 |
Volume (vol) | vol.105 |
Number (no) | 222 |
Page | pp.pp.- |
#Pages | 4 |
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