BP神经网络学习算法的改进与应用

本文利用BP神经网络拟合电化领域的工艺模型，并通过正交实验获得实验样本数据，对BP网络进行演化训练。在实践应用中，对BP网络的演化学习进行了改进，取得了良好的效果。实践证明，用该模型得到的最优工艺流程的预期值误差和稳定性，都能满足实际生产的要求。

Improvement and Application of the Learning Algorithm of BP Neural Networks

A craft model of the electrochemistry industry is simulated by the BP neural network, and the BP neural network is trained by some sample data of the orthogonal test and evolutional algorithm. In an actual application, the authors improve the evolutional learning algorithm of BP neural networks, and practice shows the efficiency of the craft model is very satisfying.