Title :
A fuzzy Kohonen´s feature map neural network with application to group technology
Author :
Kuo, R.J. ; Chi, S.C. ; Den, B.W.
Author_Institution :
Dept. of Ind. Eng., Nat. Taipei Univ. of Technol., Taiwan
Abstract :
This paper proposes a novel fuzzy neural network for clustering the parts into several families. The proposed network, which has fuzzy inputs as well as fuzzy weights, integrates the Kohonen´s feature map neural network and the fuzzy set theory. The model evaluation results show that the proposed fuzzy neural network can provide more accurate decision compared to the fuzzy c-means algorithm and k-means algorithm
Keywords :
fuzzy neural nets; fuzzy set theory; pattern clustering; production control; production engineering computing; self-organising feature maps; fuzzy Kohonen feature map neural network; fuzzy inputs; fuzzy set theory; fuzzy weights; group technology; parts clustering; Artificial neural networks; Brightness; Fuzzy neural networks; Group technology; Image coding; Image processing; Manufacturing; Neural networks; Pattern recognition; Working environment noise;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.836057
