基于遗传算法的BP神经网络算法(以下简称BP—GA)就是在BP神经网络的学习过程中，将权重和阀值描述为染色体，并选取适宜的适应函数，然后进行GA迭代，直到某种意义上的收敛．-GA BP neural network algorithm (hereinafter referred to as BP-GA) is in the learning process BP neural network, the weights and thresholds described as chromosomes, and　the appropriate fitness function, then GA iteration until some sense Convergence on.