Hybrid Model Based on Fuzzy Clustering and BP Algorithm

The clustering validity function was analyzed;and the clustering number c and index m were modified.The improved fuzzy clustering algorithm was introduced into BP algorithm.A hybrid model was then established based on fuzzy clustering and BP algorithm to solve the existed problems in the fuzzy clustering analysis.Experimental analysis was also conducted.The results show that the hybrid model is superior to the traditional BP algorithm method in the preparation,because the data have more similar characteristics after they have been fuzzily clustered.