• 第六部分采用元线性回归多项式回归、灰色系统G1,1)模型组合预测模型山东省现代物流业未来需求状况进行中期预测

    The sixth part forecasts the future logistics demand of Shandong Province on the basis of one linear regression, polynomial regression, gray system G(1,1) model and combination forecast model.

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  • 采用多元正交多项式回归方法建立冬小麦生产经济收益预测多元正交多项式回归模型

    We have build the multivariate orthogonal polynomial regression forecasting model of the economical effect on winter wheat production.

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  • 多项式拟合预测建筑物垂直沉降时应用广泛的模型之一,但模型受外界影响较大。

    To curtail the extra effect, and uses the measured sufficiently, slide multinomial fitting model is put forward.

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  • 文章根据组合预测理论BP神经网络非线性数据良好逼近特性,提出了基于BP神经网络的灰色预测多项式回归模型民用汽车运力组合预测模型

    Based upon the theory of combined forecasting, up-standing identity of BP neural network on approaching non-linear data, put forward a combined forecasting model for civil motors.

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  • 对比指数曲线模型双曲线模型结果可知,多项式模型预测精度高于两者

    According to contrast index curve model and hyperbolic model results, the power of multi- Item type prediction accuracy is higher than the latter two.

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  • 对比指数曲线模型双曲线模型结果可知,多项式模型预测精度高于两者

    According to contrast index curve model and hyperbolic model results, the power of multi- Item type prediction accuracy is higher than the latter two.

    youdao

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