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Discussion and Application Study on GDP Combination Forecasting Method

机译:GDP组合预测方法的探讨与应用研究

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A combination model of GM (1, 1) model, nonlinear and chaotic dynamics model, and nonlinear quadratic autoregressive model for forecasting GDP has been built. As the GDP data for the test in 2012 of Henan Province, results showed that the three prediction models having higher prediction accuracy can be used for long-term GDP forecasts. Then GDP in 2013-2022 of Henan Province was forecasted by these three forecasting models and the GDP forecast results in 2013-2022 of Henan Province with geometric average of the forecasting outcome of these three forecasting models was given.
机译:建立了GM(1,1)模型,非线性与混沌动力学模型以及非线性二次自回归模型相结合的GDP预测模型。作为河南省2012年检验的GDP数据,结果表明,三种具有较高预测精度的预测模型可用于长期GDP预测。然后用这三种预测模型对河南省2013-2022年的GDP进行了预测,并给出了这三种预测模型的预测结果的几何平均值,给出了河南省2013-2022年的GDP预测结果。

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