Title :
A fuzzy neural network algorithm based on GA
Author :
Jingmin, Wei ; Jiafu, Tang ; Huanjie, Liu
Author_Institution :
Polytech. Sch., Inf. Eng. Dept., Shenyang Ligong Univ., Fushun, China
Abstract :
Firstly fuzzy neural network algorithm and its advantages are introduced, Combining modified genetic algorithm (MGA) and Minus-Grade Decline a fuzzy neural network (FBPNN) algorithm based on two phases is proposed in this paper. In the first phases fuzzy neural network in global area is optimized with genetic algorithm (GA) and in the second phases in local area is optimized with Minus-Grade Decline. Using this kind of combined optimization algorithm the self-learning and robust can be increased in the networks.
Keywords :
fuzzy neural nets; genetic algorithms; unsupervised learning; combined optimization algorithm; fuzzy neural network algorithm; minus grade decline; modified genetic algorithm; self-learning; Artificial neural networks; Fuzzy control; Fuzzy neural networks; Genetic algorithms; Modeling; Optimization; Training; FBPNN; GA; Minus-Grade Decline;
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
DOI :
10.1109/CCDC.2011.5968776
