Presentation 2004-11-27
Back Propagation Learning in Feedforward Neural Network with Cell Assembly
Yoko UWATE, Yoshifumi NISHIO,
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Abstract(in English) Cell assembly is one of explanations of information processing in the brain, in which an information is represented by a firing space pattern of a group of plural neurons. On the other hand, effectiveness of neural network has been confirmed in pattern recognition, system control, signal processing, and so on, since the back propagation learning was proposed. In this study, we propose a new network structure with chaotically-selected affordable neurons in the hidden layer of the feedforward neural network. Computer simulated results show that the proposed network exhibits a good performance for the back propagation learning.
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Keyword(in English) cell assembly / feedfoward neural network / chaos
Paper # NLP2004-86
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Conference Information
Committee NLP
Conference Date 2004/11/20(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Back Propagation Learning in Feedforward Neural Network with Cell Assembly
Sub Title (in English)
Keyword(1) cell assembly
Keyword(2) feedfoward neural network
Keyword(3) chaos
1st Author's Name Yoko UWATE
1st Author's Affiliation Dept. of Electrical and Electronic Engineering, Tokushima University()
2nd Author's Name Yoshifumi NISHIO
2nd Author's Affiliation Dept. of Electrical and Electronic Engineering, Tokushima University
Date 2004-11-27
Paper # NLP2004-86
Volume (vol) vol.104
Number (no) 472
Page pp.pp.-
#Pages 4
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