Presentation 2002/3/13
Carrier-frequency dependent neural networks that have a self-organizing mechanism for expressing a context-dependent behavior
Dai ISHIMARU, Akira HIROSE,
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Abstract(in English) By regarding the carrier frequency as an internal state in the frequency dependent neural networks (FDN's), such a function is realizable by a self-organizing mechanism that identical input yields different outputs according to the internal state of the network system. In this paper, we propose such an FDN system that shows self-organizing context-dependent behavior which is one of the activeness function required in future brain-type information processing systems.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) coherence / context-dependence / self-orgnization / generalisation
Paper # NC2001-220
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Committee NC
Conference Date 2002/3/13(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Carrier-frequency dependent neural networks that have a self-organizing mechanism for expressing a context-dependent behavior
Sub Title (in English)
Keyword(1) coherence
Keyword(2) context-dependence
Keyword(3) self-orgnization
Keyword(4) generalisation
1st Author's Name Dai ISHIMARU
1st Author's Affiliation Department of Electronics Engineering, Graduate School of Engineering, The University of Tokyo()
2nd Author's Name Akira HIROSE
2nd Author's Affiliation Department of Frontier Informatics, Graduate School of Frontier Sciences, The University of Tokyo
Date 2002/3/13
Paper # NC2001-220
Volume (vol) vol.101
Number (no) 737
Page pp.pp.-
#Pages 8
Date of Issue