灰色算法

  灰色预测方法的特点表现在：首先是它把离散数据视为连续变量在其变化过程中所取的离散值，从而可利用微分方程式处理数据；而不直接使用原始数据而是由它产生累加生成数，对生成数列使用微分方程模型。这样，可以抵消大部分随机误差，显示出规律性。(The characteristics of the grey prediction method are as follows: First, it regards the discrete data as the discrete value of the continuous variable in its change process, so that the differential equation can be used to process the data; instead of using the original data directly, it generates the cumulative generation. Number, using a differential equation model for generating a series. In this way, most of the random errors can be offset, showing regularity.)

灰色算法\funcoef.m, 438 , 2017-02-08
灰色算法\funesm1.m, 483 , 2017-02-08
灰色算法\funesm2.m, 997 , 2017-02-08
灰色算法\funesm3.m, 1295 , 2017-02-08
灰色算法\fungry1.m, 1526 , 2017-02-08
灰色算法\~$色系统预测 .doc, 162 , 2019-08-17
灰色算法\灰色理论与方法——提要·题解·程序·应用.pdf, 7480040 , 2017-02-08
灰色算法\灰色预测.ppt, 222208 , 2017-02-08
灰色算法, 0 , 2019-08-17
灰色算法\灰色系统预测 .doc, 487936 , 2017-02-08