A Method of Learning for Multi-Layer Networks
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概要
- 論文の詳細を見る
A method of learning for multi-layer artificial neural networks is proposed. The learning model is designed to provide an effective means of escape from the Backpropagation local minima. The system is shown to escape from the Backpropagation local minima and be of much faster convergence than simulated annealing techniques by simulations on the exclusiveor problem and the Arabic numerals recognition problem.
- 社団法人電子情報通信学会の論文
- 2002-02-01
著者
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Wang Xu
Faculty Of Engineering Toyama University
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Wang Xu
The Faculty Of Engineering Toyama University
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TANG Zheng
Faculty of Engineering, Toyama University
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Tang Zheng
Faculty Of Engineering Miyazaki University
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