Presentation | 2004-11-27 Back Propagation Learning in Feedforward Neural Network with Cell Assembly Yoko UWATE, Yoshifumi NISHIO, |
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Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | cell assembly / feedfoward neural network / chaos |
Paper # | NLP2004-86 |
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Committee | NLP |
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Conference Date | 2004/11/20(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Nonlinear Problems (NLP) |
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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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