Presentation 1998/10/24
A Study on Initialization for MultiLayer Nets
Hiroshi SHIRATSUCHI, Hiromu GOTANDA, Katsuhiro INOUE, Kousuke KUMAMARU,
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Abstract(in English) This report studies an initialization of bipolar networks with single hidden layer trained for pattern classification problems. Weights of the hidden layer are initialized so that separation hyperpalnes should pass through the center of input pattern set, and those of the output layer are initialized zero. From simulation results for MONK's problem, Iris classification problem and Soner target identification problem, it is confirm that the proposed initialization gives better convergence in wider range of initial values and learning coefficent that the ordinal initialization that the weights are given by uniform random numbers with zero mean.
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Keyword(in English) multilayer nets / BP learning / initialization / input set / active-region / convergence
Paper # NC98-52
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Committee NC
Conference Date 1998/10/24(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) A Study on Initialization for MultiLayer Nets
Sub Title (in English)
Keyword(1) multilayer nets
Keyword(2) BP learning
Keyword(3) initialization
Keyword(4) input set
Keyword(5) active-region
Keyword(6) convergence
1st Author's Name Hiroshi SHIRATSUCHI
1st Author's Affiliation Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology()
2nd Author's Name Hiromu GOTANDA
2nd Author's Affiliation Faculty of Engineering, Kinki University in Kyushu
3rd Author's Name Katsuhiro INOUE
3rd Author's Affiliation Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology
4th Author's Name Kousuke KUMAMARU
4th Author's Affiliation Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology
Date 1998/10/24
Paper # NC98-52
Volume (vol) vol.98
Number (no) 365
Page pp.pp.-
#Pages 7
Date of Issue