Data Mining Study Based on Fuzzy Neural Networks and Genetic Algorithms

With fuzzy input signals,fuzzy neural network is a combination of fuzzy system and neural network.Therefore,it asembles the advantages of them.Genetic algorithm can adapt to the overall situation and better probability seeking automatically.Based on the combination of fuzzy neural network and genetic algorithm,studies an algorithm that can train the membership function by applying genetic algorithm before data mining by applying fuzzy neural network.Rules can be obtained after the study of fuzzy neural network while pruned after the application of genetic algorithm;thus the efficiency of data mining is increased.Experiments have shown that,compared with conventional algorithm,this one can mine data more quickly and more accurately,and get the reasoning rules more precisely.