Abstract:Neural network BP training algorithm based on gradient descend technique may lead to entrapment in local optimum so that the network inaccurately classifies input patterns. This paper presents a hybrid training algorithm GA-QP combined to genetic algorithm with BP algorithm. Experiments show that the hybrid algorithm outperforms BP algorithm. Satisfactory experimental results are obtained.
穆文全; 廖晓峰; 虞厥邦. 基于遗传算法和BP算法的多层感知机杂交训练算法[J]. 电子与信息学报, 1997, 19(2): 190-194 .
Mu Wenquan; Liao Xiaofeng; Yu Juebang. A HYBRID NEURAL NETWORK TRAINING ALGORITHM BASED ON GENETIC ALGORITHM AND BP ALGORITHM. , 1997, 19(2): 190-194 .