DocumentCode
2583754
Title
A fuzzy neural network based on fuzzy weighted reasoning method
Author
Chunguang, Zhou ; Liang Yanchun ; Zhimin, Yang
Author_Institution
Comput. Dept., Guangdong Ind. Univ., China
fYear
2000
fDate
2000
Firstpage
190
Lastpage
195
Abstract
An improved fuzzy weighted reasoning method is presented on the basis of the `Mamdani´ reasoning method. A fuzzy neural network is developed based on the improved fuzzy weighted reasoning method. The training of network weights and optimization of membership functions are conducted using genetic algorithms. Fuzzy rules can be obtained according to the weights of the network. The effectiveness of the network model and the algorithm is examined by simulated experiments
Keywords
fuzzy neural nets; genetic algorithms; inference mechanisms; Mamdani reasoning method; fuzzy neural network; fuzzy weighted reasoning method; genetic algorithms; membership function optimisation; network weight training; Artificial neural networks; Computer industry; Fuzzy logic; Fuzzy neural networks; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Genetic algorithms; Gravity; Input variables;
fLanguage
English
Publisher
ieee
Conference_Titel
Autonomous Decentralized Systems, 2000. Proceedings. 2000 International Workshop on
Conference_Location
Chengdu
Print_ISBN
0-7803-6575-5
Type
conf
DOI
10.1109/IWADS.2000.880906
Filename
880906
Link To Document