Research on Neural Network Model Based on Subtraction Clustering and Its Applications

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. Coll...

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Vydané v:Physics procedia Ročník 25; s. 1642 - 1647
Hlavní autori: Tie-jun, Zhang, Duo, Chen, Jie, Sun
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier B.V 2012
Predmet:
fuzzy c-means clustering
fuzzy neural network
subtractive clustering
fuzzy neural network
fuzzy c-means clustering
subtractive clustering
ISSN:1875-3892, 1875-3892
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Shrnutí: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 are performed. Experimental results indicate that the proposed method is valid.
ISSN:1875-3892
1875-3892
DOI:10.1016/j.phpro.2012.03.288