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This paper takes advantage of the integration of subtraction clustering and fuzzy c-means clustering algorithm to obtain precise number of clusters and the degree of membership, and establishes the neural network model based on the multiple criterion information fusion and the fuzzy technology. Collecting a variety of data in actual underground mining process and integrating them as a whole, the simulations...
Aiming at modeling of the complex and large industrial process, this paper proposes the multi-clustering based on the fusion of hierarchical clustering algorithm of field potential topology and fuzzy c-means clustering, on which the structure of fuzzy neural network model is determined. According to the membership degree calculated, the fuzzy neural network model has been configured based on the multi...
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