Multilayer Network Learning Algorithm Based on Pattern Search Method(Neural Networks and Bioengineering)
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概要
- 論文の詳細を見る
A new multilayer artificial neural network learning algorithm based on the pattern search method is proposed. The learning algorithm is designed to provide a very simple and effective means of searching the minima of an objective function directly without any knowledge of its derivatives. We test this algorithm on benchmark problems, such as exclusive-or (XOR), parity and alphabetic character learning problems. For all problems, the systems are shown to be trained efficiently by our algorithm. As a simple direct search algorithm, it can be applied to hardware implementations easily.
- 社団法人電子情報通信学会の論文
- 2003-07-01
著者
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Wang Xu-gang
Faculty Of Engineering Toyama University
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TANG Zheng
Faculty of Engineering, Toyama University
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TAMURA Hiroki
Faculty of Engineering, Toyama University
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ISHII Masahiro
Faculty of Engineering, Toyama University
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Tamura H
Univ. Of Miyazaki Miyazaki‐shi Jpn
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Tamura Hiroki
Faculty Of Engineering Toyama University
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Ishii Masahiro
Univ. Toyama Toyama Jpn
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Tang Zheng
Faculty Of Engineering Miyazaki University
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Tamura H
Faculty Of Engineering Toyama University
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Ishii Masahiro
Faculty Of Engineering University Of Toyama
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Ishii Masahiro
Faculty Of Business Administration Daito Bunka University
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