Presentation	2013-12-21 Singularity Stairs Following with Limited Numbers of Hidden Units Seiya SATOH, Ryohei NAKANO,
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Abstract(in English)	In a search space of a multilayer perceptron having J hidden units, MLP(J), there exist flat areas called singular regions that cause serious stagnation of learning. Recently SSF1.3 utilizing singular regions has been proposed to systematically and stably find excellent solutions. SSF1.3 starts search from a search space of MLP(1), increasing J one by one. This paper proposes SSF2 that performs search utilizing singular regions with J changed bidirectionally within a certain range. The proposed method was evaluated using artificial and real data sets.
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Keyword(in English)	multilayer perceptron / learning method / singular region / reducibility mapping
Paper #	NC2013-65
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Conference Information
Committee	NC
Conference Date	2013/12/14(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)	Singularity Stairs Following with Limited Numbers of Hidden Units
Sub Title (in English)
Keyword(1)	multilayer perceptron
Keyword(2)	learning method
Keyword(3)	singular region
Keyword(4)	reducibility mapping
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	2013-12-21
Paper #	NC2013-65
Volume (vol)	vol.113
Number (no)	374
Page	pp.pp.-
#Pages	6
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