Presentation 1995/7/27
A Modified Learning Method for Error Back Propagation Algorithm using the Differential of Output Error Function
Yoshihiko Tanabe, Jin-ichi Matsuda,
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Abstract(in English) A modified error back propagation method for improving the learning efficiency of layered neural networks is presented. In this method, the network can be trained in a similar way as a conventional error-backpropagation method, only expect adding the differential of output error function to the back propagation error at hidden layer units for each input pattern. It is shown by computer simulation that, in the learning of exclusive-OR, the success rate of learning with the traditional BP method is 88.2%, and that with our method is improved to 100%. For these result, it is confirmed that this method is effective to improve the learning efficiency of layered neural networks.
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Keyword(in English) neural network / error back propagation method / internal representation / output error function / differential coefficient / learning efficiency
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Committee NC
Conference Date 1995/7/27(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) A Modified Learning Method for Error Back Propagation Algorithm using the Differential of Output Error Function
Sub Title (in English)
Keyword(1) neural network
Keyword(2) error back propagation method
Keyword(3) internal representation
Keyword(4) output error function
Keyword(5) differential coefficient
Keyword(6) learning efficiency
1st Author's Name Yoshihiko Tanabe
1st Author's Affiliation Department of Electrical Engineering, Nagaoka University of Technology()
2nd Author's Name Jin-ichi Matsuda
2nd Author's Affiliation Department of Electrical Engineering, Nagaoka University of Technology
Date 1995/7/27
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Volume (vol) vol.95
Number (no) 189
Page pp.pp.-
#Pages 8
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