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Fuzzy entropy based combined learning algorithm for neural networks

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1 Author(s)
Yao, Min ; Dept. of Computer Science, Hangzhou University, Hangzhou 310028, P. R. China

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.

Published in:

Systems Engineering and Electronics, Journal of  (Volume:7 ,  Issue: 1 )