A new algorithm of Fuzzy Neural Networks with multiple form fuzzy weights

被引：0
|
作者：
Lei, HL [1 ]
Zhang, JB [1 ]
Zhang, DZ [1 ]
机构：
[1] Airforce Univ Engn, Xian 710038, Peoples R China
来源：
PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4 | 2002年
关键词：
fuzzy weight; cost function; level sets; fuzzy targets; teaming 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：
A Fuzzy Neural Network (FNN) architecture with fuzzy weight is proposed. The cost function depending on the fuzzy input and level sets of the fuzzy targets are defined, which can educe a learning algorithm that will be used to adjust the parameters which dencte the fuzzy weight. The principles of the algorithm so that it can be applicable to the fuzzy weight with multiple forms.are generalized. Then the algorithm is proved to be available by simulation studies.
引用
收藏
页码：3252 / 3255
页数：4
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