Automatic Fuzzy Rule Extraction Based on Weighted Fuzzy Neural Networks

The extraction of fuzzy rules is always a difficult problem to fuzzy system. After the deep study of weighted fuzzy neural networks and genetic algorithm, this paper presents a pruning algorithm to optimize the fuzzy rules, which determine the structure of the FNN based on the effective rules obtained through fuzzy rules searching. Experiments haves proved the method is applicable and efficient.