Presentation | 1999/9/21 Circularly Connected Synergetic Neural Networks Masahiro Nakagawa, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this study we shall put forward a circularly connected synergetic neural network extending the previously studied auto-correlation or cross-correlation dynamics so as to realise the group memory retrieval. The present model is substantially based on a top-down formulation of the dynamic rule of an analog neural network in the similar manner to the conventional synergetic dynamics proposed by Haken. It is proved that a complete association can be assured up to the same number of the embedded patterns as the minimal number of neurons of the linked synergetic neural networks. |
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Paper # | NLP99-82 |
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Committee | NLP |
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Conference Date | 1999/9/21(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Nonlinear Problems (NLP) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Circularly Connected Synergetic Neural Networks |
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1st Author's Name | Masahiro Nakagawa |
1st Author's Affiliation | Department of Electrical Engineering, Faculty of Engineering, Nagaoka University of Technology() |
Date | 1999/9/21 |
Paper # | NLP99-82 |
Volume (vol) | vol.99 |
Number (no) | 323 |
Page | pp.pp.- |
#Pages | 8 |
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