讨论了误差逆传播算法存在的缺陷，并针对其缺陷提出了动态调整学习因子与合理选取激发函数相结合的改进方案。

Disadvantages of the back propagation algorithm are discussed, and the improved methods based on dynamic learning constants and different activation functions are presented.

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目前BP网络采用误差逆传播算法学习训练神经网络，该算法是基于网络误差函数梯度下降的。

BP network adopt error against propagate algorithm to leam and train the neural network at present, this algorithm is on the basis of the error function gradient of the network.

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