The improvement of a fuzzy neural network based on back-propagation

被引：0
|
作者：
Hua, Q [1 ]
Ha, MH [1 ]
机构：
[1] Hebei Univ, Machine Learning Ctr, Baoding 071002, Peoples R China
来源：
2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS | 2002年
关键词：
fuzzy neural networks; BP algorithm; fuzzy BP algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Some discussions on fuzzy neural network architecture and algorithm have been put forward, whose weights are given as special fuzzy numbers, such as triangular fuzzy numbers. In this paper, we introduce the conception of strong L-R type fuzzy number, and derive a learning algorithm based on BP algorithm via level sets of strong L-R type fuzzy numbers. The special fuzzy number is weakened to the common case Then the range of application is enlarged. Lastly, the initial experiment in fuzzy classification was showed.
引用
收藏
页码：2237 / 2239
页数：3
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