Presentation 1996/12/14
An Incremental Learning Method with Relearning Recalled Interfered Patterns : A New Recalling Procedure
Nobuhiko YAMAGUCHI, Koichiro YAMAUCHI, Naohiro ISHII,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper presents a new incremental learning method for Neural Networks. If a neural network is trained to memorize novel patterns only by their presentation, the network will forget some patterns that has been already learnt. This problem is caused by the fact that the learning of novel patterns usually interferes in the internal representation corresponding to the old training patterns. In the new method, the network recalls the patterns which seem to be interfered in by the novel patterns, and then learns both novel and recalled patterns.
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Keyword(in English) Sequential learning / Append learning / Interfered pattern / Recall / GRBF
Paper # NC96-61
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Committee NC
Conference Date 1996/12/14(1days)
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Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Incremental Learning Method with Relearning Recalled Interfered Patterns : A New Recalling Procedure
Sub Title (in English)
Keyword(1) Sequential learning
Keyword(2) Append learning
Keyword(3) Interfered pattern
Keyword(4) Recall
Keyword(5) GRBF
1st Author's Name Nobuhiko YAMAGUCHI
1st Author's Affiliation Department of Intelligence and Computer Science,Nagoya Institute of Technology()
2nd Author's Name Koichiro YAMAUCHI
2nd Author's Affiliation Department of Intelligence and Computer Science,Nagoya Institute of Technology
3rd Author's Name Naohiro ISHII
3rd Author's Affiliation Department of Intelligence and Computer Science,Nagoya Institute of Technology
Date 1996/12/14
Paper # NC96-61
Volume (vol) vol.96
Number (no) 430
Page pp.pp.-
#Pages 8
Date of Issue