摘要
针对原始数据序列光滑度不足的情况,提出了一种新的数据变换方法,以提高原始数据序列的光滑度.给出方法的理论证明,并与其它数据变换方法进行了对比.将变换方法应用于GM(1,1)模型,结果显示,通过调节参数的值,变换能够提高GM(1,1)模型的计算精度.最后的实例说明了该方法的实用性和有效性.
In view of the shortage of original data sequence smoothness, we put forward a new method of data transformation in order to improve the smoothness of the original data sequence. Theoretical proof of the method is presented and it was compared with other data transformation method. The transform method was applied to GM （1,1） model. The results show that the transform can improve the calculation precision of GM （1,1） model by adjusting the value of the parameter. The final example illustrates the practicability and validity of the method.
出处
《数学的实践与认识》
北大核心
2015年第1期197-202,共6页
Mathematics in Practice and Theory
