To compensate the disadvantage of the conventional back propagation algorithm(CBPA),an improved learning algorithm,which trained a BP neural network by the genetic algorithm,was developed.

• 考虑到BP算法的不足,提出用遗传算法来优化BP神经网络的连接权值,设计了基于进化神经网络的学习算法,建立了陶瓷材料电加工表面粗糙度随工艺参数变化的预测模型。