灰色预测模型进一步拓广方法的研究

Research on extensive method for gray forecasting model

提出了一种利用复合函数c-shx(c>1)对灰色预测模型的原始离散数据列{x(0)(k)}进行变换的方法.提高了离散数据列的光滑度,拓广了灰色预测模型的应用范围,并从理论上证明了该方法比"指数函数"法、"对数函数"法及"幂函数"法更有效.

A method is proposed to improve the smooth of original data series {x^（0） （k）} conducting alternation by means of c^-shx（c〉1） function to develop the application of gray forecasting model. Compared with exponential function method,logarithmic function method and power function method, the c^-shx （c〉 1） function method is better in terms of theory.