BP神经网络控制系统辨识的m文件原程序，经过离线训练可以仿真出采样点的变化曲线

利用遗传算法优化BP神经网络权值和阈值，然后进行训练，利用训练好的模型进行预估。附实例-The use of genetic algorithm to optimize BP neural network weights and thresholds, and then training, training a good use of forecast models. Attached examples

这个程序如何转化成训练BP神经网络连接权值的源代码,提供4组15输入4输出训练集和目标集,调整输出层加权系数.-How this program into training BP neural network connection weights of the source code, provides 4 inputs 4 outputs 15 training set and the target set, adjust the output layer weighting coeffici

BP预测SOC,以电流电压问输入，SOC为输出，训练网络(BP predicts SOC, input by current and voltage, SOC as output, training network)