基于遗传算法优化BP神经网络的非线性预测我要分享

中文说明：

针对BP神经网络的初始权值和阈值是随机选取的弊端，采用遗传算法寻优BP的初始权值和阈值，然后进行BP训练和测试。遗传算法包括编码 选择 交叉 和变异等操作。

English Description：

In view of the disadvantage that the initial weight and threshold of BP neural network are randomly selected, genetic algorithm is used to optimize the initial weight and threshold of BP, and then BP is trained and tested. Genetic algorithm includes coding selection, crossover and mutation