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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Physics procedia Ročník 25; s. 1642 - 1647
Hlavní autoři: Tie-jun, Zhang, Duo, Chen, Jie, Sun
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 2012
Témata:
fuzzy c-means clustering
fuzzy neural network
subtractive clustering
fuzzy neural network
fuzzy c-means clustering
subtractive clustering
ISSN:1875-3892, 1875-3892
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
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