用于神经网络训练的混合遗传算法，，与快速BP算法结合。 -Hybrid genetic algorithm for neural network training, combined with the fast BP algorithm.

BP神经网络的整个训练过程,采用波束成形技术的BER计算，遗传算法无功优化。- The entire training process BP neural network, By applying the beam forming technology of BER Genetic algorithm based reactive power optimization.

BP神经网络的整个训练过程,一些自适应信号处理的算法，用MATLAB编写的遗传算法路径规划。- The entire training process BP neural network, Some adaptive signal processing algorithms, Genetic algorithms using MATLAB path planning.

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(Aiming at the disadvantage that the initial weights and thresholds of BP neural network are randomly selected, genetic algorithm is used to optimize the initial weights and