To improve accuracy of forecast, the paper utilize advanced BP neural network to design for nonlinear combining forecasting model.

为提高预测精度，解决非线性组合预测中的困难，利用改进BP神经网络对非线性组合预测模型进行了设计。

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The results of using the proposed model indicate that the forecasting result of combining forecasting model is better than that of the single model.

基于该文所开发的预测模型的预测结果表明，组合预测模型的预测结果优于单一模型的预测结果。

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In this paper, we present a new kind of combining forecasting model based on the generalized weighted functional mean and the parameter estimation methods of its weighting coefficients.

给出一种新的组合预测模型——广义加权函数平均组合预测模型及其加权系数的参数估计方法。

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