DocumentCode :
3385333
Title :
Clustering and Artificial Neural Networks as a Tool to Generate Membership Functions
Author :
Sanchez, A. ; Álvarez, R. ; Moctezuma, J.C. ; Sanchez, S.
Author_Institution :
Benemerita Universidad Autonoma de Puebla, Mexico
fYear :
2006
fDate :
27-01 Feb. 2006
Firstpage :
32
Lastpage :
32
Abstract :
This work show an application of the classical clustering algorithm, c-mean mixed with Artificial Neural Networks to build membership functions of fuzzy systems, the simulations were done with MATLAB.
Keywords :
Artificial Neural Networks; Classical clustering algorithm; Fuzzy System; MATLAB.; c means; Artificial neural networks; Backpropagation algorithms; Biological neural networks; Clustering algorithms; Computer networks; Fuzzy sets; Fuzzy systems; MATLAB; Neurons; Partitioning algorithms; Artificial Neural Networks; Classical clustering algorithm; Fuzzy System; MATLAB.; c means;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Communications and Computers, 2006. CONIELECOMP 2006. 16th International Conference on
Print_ISBN :
0-7695-2505-9
Type :
conf
DOI :
10.1109/CONIELECOMP.2006.22
Filename :
1604728
Link To Document :
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