Aiming at solving the problems in each traditional forecasting method, a optimal mix forecasting method based on BP neural network was put forwards.

为了解决各种单一传统的预测方法中存在的问题，提出了一种BP神经网络最优组合的预测方法。

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The result shows that this combined model can improve the precision of forecasting and avoid the shortage of negative weight in the process of optimal mix forecasting model.

结果表明：基于神经网络组合预测模型不仅比单一预测方法能够从整体上提高预测精度，而且能避免最优组合预测模型有时出现负权重的不足。

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The result shows that this combined model can improve the precision of forecasting and avoid the shortage of negative weight in the process of optimal mix forecasting model.

结果表明：基于神经网络组合预测模型不仅比单一预测方法能够从整体上提高预测精度，而且能避免最优组合预测模型有时出现负权重的不足。

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