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
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;
Conference_Titel :
Autonomous Decentralized Systems, 2000. Proceedings. 2000 International Workshop on
Conference_Location :
Chengdu
Print_ISBN :
0-7803-6575-5
DOI :
10.1109/IWADS.2000.880906
