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灰色系统在我国大豆供需预测中的应用

     

摘要

The gliding property was increased through exponential functional transformation of grey system, and a GM (1, h) model was established. The Runge-Kutta method was used to resolve the equation, and the numerical solutions were retrieved to initial states. Then we obtained the prediction values of soybean yield, demand and the import volume. Based on the prediction of development trend, some countermeasures were put forward to continuously develop the market of China soybean.%利用灰色系统的指数函数变换原始数列以增加其光滑性,建立模型GM(1,h),用龙格-库塔法求解系统状态方程矩阵,并对状态方程的数值解累减还原,得到大豆产量、需求量和进口量预测值.并在其发展趋势预测的基础上,提出实现中国大豆市场持续发展、对策建议.

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