本文深入研究了 BP 神经网络与遗传算法理论，BP 神经网络在应用过程中面临

着网络训练时间长、容易陷入局部极小值、隐层节点数不易确定等缺点，为了有效

地克服 BP 网的困难，将遗传算法与 BP 网络有机地融合，使它们之间的相互补充增

强彼此的能力，从而获得更有力的解决实际问题的能力。

-this in-depth study of artificial neural networks and genetic algorithms theory, BP neural network applications in the process of facing network training a long time and easily into the local minimum value, hidden nodes is difficult to determine such shortcomings, in order to effectively overcome the difficulties BP network, Genetic Algorithm and BP organic integration of the network, so that they complement each other between enhance mutual capability, thus more effective to solve practical problems.