After trained repeatedly, the optimal number j of hidden layer node and the range of corresponding learning rate L were found according to the Mean Square Error (MSE) of training set and testing set. As a result, the optimal structure of net was obtained.

• 经反复的初训练后,根据训练集和测试集的均方误差找到了最佳隐层节点数j和对应的学习率L的范围,从而获得了网络的优化结构;