Presentation 2013-01-24
Multilayer Perceptron Search Making Good Use of Singular Regions
Seiya SATOH, Ryohei NAKANO,
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Abstract(in English) In a search space of multilayer perceptron having J hidden units, MLP(J), there exists a singular flat region created by the reducibility mapping of the optimal solution of MLP(J-1). Since such a singular region causes serious slowdown for learning methods, methods for avoiding or eliminating the region have been proposed, but have failed to achieve their goals so far. This paper proposes a new learning method which makes good use of singular regions to find successively MLP solutions good enough for each J. The method is evaluated by experiments using artificial and real data
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Keyword(in English) multilayer perceptron / learning method / singular region / reducibility mapping / eigenvector
Paper # NLP2012-104,NC2012-94
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Conference Information
Committee NLP
Conference Date 2013/1/17(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Multilayer Perceptron Search Making Good Use of Singular Regions
Sub Title (in English)
Keyword(1) multilayer perceptron
Keyword(2) learning method
Keyword(3) singular region
Keyword(4) reducibility mapping
Keyword(5) eigenvector
1st Author's Name Seiya SATOH
1st Author's Affiliation Chubu University()
2nd Author's Name Ryohei NAKANO
2nd Author's Affiliation Chubu University
Date 2013-01-24
Paper # NLP2012-104,NC2012-94
Volume (vol) vol.112
Number (no) 389
Page pp.pp.-
#Pages 6
Date of Issue