利用遗传算法对RBF（径向基）神经网络的中心值和宽度进行优化。实现效果比较好，能够高精度的实现非线性逼近。(Using genetic algorithm to optimize the center value and width of RBF (radial basis) neural network. The realization effect is better, and the nonlinear approximation