Fuzzy Neural Networks Based on Automatic Generation of Rules
Jianguo Shen · Journal of Hangzhou Dianzi University · 2008
A new modeling approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks(GDFNN).This method using sample data automatic generates fuzzy rules,then uses the fuzzy logic universal approximation capability to approach the ideal output.Fuzzy rules can be recruited or deleted dynamically.The modeling procedure and learning algorithm is described,gives a function example to confirm this method are feasible.