采用自适应变步长的后向传播算法（ABPM）构建了一个人工神经网络用水量预测模型。

The following paper constructs a artificial neural network - named water quantity predicting model, using automatically adapting and step-self-changing back propagation method(ABPM).

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与单独使用后向传播神经网络算法相比分类效果也得到了改善。

Compared with neural network algorithm using back-propagating alone, it improves classification results.

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与单独使用后向传播神经网络算法相比分类效果也得到了改善。

Compared with neural network algorithm using back-propagating alone, it improves classification results.

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