Presentation 1999/9/21
Circularly Connected Synergetic Neural Networks
Masahiro Nakagawa,
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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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Conference Information
Committee NLP
Conference Date 1999/9/21(1days)
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Registration To Nonlinear Problems (NLP)
Language ENG
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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
Date of Issue