Presentation	2003/3/10 A Proposal Immune Multi Agent Neural Networks Shinichi OEDA, Takumi ICHIMURA, Toshiyuki YAMASHITA,
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Abstract(in English)	Both immune system and neural network are complex biological systems. These systems are capable of learning, memory, and pattern recognition. Many classification algorithms have been developed in a field of the information processing. In this paper, we propose the immune multi agent neural networks where each immune agent employs different neural network learning to handle a subset of training cases. This proposed method is limited to the behaviors of the macrophage, B-cell, and T-cell to realize a good classification capability・
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Keyword(in English)	Immune system / Multi agent system / Cooperating mechanism / Neural Network
Paper #	NC2002-141
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Conference Information
Committee	NC
Conference Date	2003/3/10(1days)
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Paper Information
Registration To	Neurocomputing (NC)
Language	JPN
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Title (in English)	A Proposal Immune Multi Agent Neural Networks
Sub Title (in English)
Keyword(1)	Immune system
Keyword(2)	Multi agent system
Keyword(3)	Cooperating mechanism
Keyword(4)	Neural Network
1st Author's Name	Shinichi OEDA
1st Author's Affiliation	Graduate School of Engineering, Tokyo Metropolitan Institute of Technology()
2nd Author's Name	Takumi ICHIMURA
2nd Author's Affiliation	Faculty of Information Sciences, Hiroshima City University
3rd Author's Name	Toshiyuki YAMASHITA
3rd Author's Affiliation	Graduate School of Engineering, Tokyo Metropolitan Institute of Technology
Date	2003/3/10
Paper #	NC2002-141
Volume (vol)	vol.102
Number (no)	729
Page	pp.pp.-
#Pages	6
Date of Issue