| Fuzzy Entropy Based Combined Learning Algorithm for Neural Networks |
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| 引用本文： | Min Yao (Dept. of Computer Science,Hangzhou University,Hangzhou 310028,P. R. China ). Fuzzy Entropy Based Combined Learning Algorithm for Neural Networks[J]. 系统工程与电子技术(英文版), 1996, 0(1) |
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| 作者姓名： | Min Yao (Dept. of Computer Science Hangzhou University Hangzhou 310028 P. R. China ) |
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| 作者单位： | Dept. of Computer Science，Hangzhou University，Hangzhou 310028，P. R. China |
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| 摘 要： | ＦｕｚｚｙＥｎｔｒｏｐｙＢａｓｅｄＣｏｍｂｉｎｅｄＬｅａｒｎｉｎｇＡｌｇｏｒｉｔｈｍｆｏｒＮｅｕｒａｌＮｅｔｗｏｒｋｓ￥ＭｉｎＹａｏ（Ｄｅｐｔ．ｏｆＣｏｍｐｕｔｅｒＳｃｉｅｎｃｅ，ＨａｎｇｚｈｏｕＵｎｉｖｅｒｓｉｔｙ，Ｈａｎｇｚｈｏｕ３１００２８，Ｐ...
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Fuzzy Entropy Based Combined Learning Algorithm for Neural Networks |
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| Min Yao. Fuzzy Entropy Based Combined Learning Algorithm for Neural Networks[J]. Journal of Systems Engineering and Electronics, 1996, 0(1) |
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| Authors: | Min Yao |
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| Abstract: | Learning is one of key problems of artificial neural networks. In this paper, we present a kind of combined learning algorithm based on fuzzy entropy criterion for neural networks. The basic idea is to simulate the learning mechanism of human brain and overcome the limitations of monocrifsterion learning. The comparison is made between the given learning algorithm and the typical BP algorithm in order to show the characteristics of the new algorithm. |
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| Keywords: | Artificial neural networks Combined learning Fuzzy entropy criterion. |
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