遗传算法优化BP 神经网络是用遗传算法来优化BP 神经网络的初始权值和阔值，使优化
后的BP 神经网络能够更好地预测函数输出。遗传算法优化BP 神经网络的要素包括种群初
始化、造应度函数、选择操作、交叉操作和变异操作。(Genetic algorithm optimizes BP neural network by using genetic algorithm to optimize the initial weight and broad value of BP neural network, so that the optimized BP neural network can better predict function output. The elements of genetic algorithm optimizing BP neural network include population initialization, response function, selection operation, crossover operation and mutation operation.)