Performance of Affordable Neural Network for Back Propagation Learning(Nonlinear Problems)
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概要
- 論文の詳細を見る
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 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. Furthermore, we confirm the proposed network has a good generalization ability.
- 社団法人電子情報通信学会の論文
- 2006-09-01
著者
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NISHIO Yoshifumi
Department of Electrical and Electronic Engineering, Tokushima University
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Nishio Yoshifumi
Faculty Of Engineering Tokushima University
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NISHIO Yoshifumi
the Faculty of Engineering, Tokushima University
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Nishio Yoshifumi
Electrical And Electronic Engineering The University Of Tokushima
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UWATE Yoko
Department of Electrical and Electronic Engineering, Tokushima University
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Nishio Yoshifumi
Department Of Dept. Of Electrical And Electronics Engineering Tokushima University
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Uwate Yoko
Department Of Dept. Of Electrical And Electronics Engineering Tokushima University
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Nishio Yoshifumi
The Faculty Of Science And Technology Keio University
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Uwatet Yoko
Department of Electrical and Electronic Engineering, Tokushima University
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