The self-adaptive learning rate and momentum coefficient are used to avoid the local minimum point in the training process of wavelet neural network.

小波神经网络的训练采用自适应调整学习率及动量系数的方法，以避免陷入局部极小值。

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The method makes the neural network be self adaptive and difficult to become the local minimum, so that the convergence rate can be greatly speeded and the learning time shortened.

该方法使网络具有自适应能力，从而不易陷入局部最小，导致收敛速度大大加快，训练时间大大缩短。

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During the self learning process, the adaptive learning rate and momentum gene are introduced to accelerate the rate of convergence and advance the identify accuracy.

在神经网络自学习过程中，引入了自适应学习速率和动量法，加快了网络的收敛速度，提高了网络的辨识精度。

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