中文说明： 用matlab进行灰色预测，先进行检验，通过后预测，然后再进行残差修正，一般一阶残差修正精度会比较好，也就够了。 有较详细的注释 %灰色预测：ForecastData=grey_forecast(A,m,translation) %灰色预测检验：[E,Q]=grey_check(A,ForecastData) %一阶残差修正Markov Chain：eMC=grey_MarkovChain(E,m) %一阶残差修正残差预测：EData=grey_forecast(abs(E),m,translation) %一阶残差修正模型最终预测：EForecast = ForecastData + eMC.*EData; %一阶残差修正模型检验：[EE,EQ]=grey_check(A,EForecast) %二阶残差修正Markov Chain：eeMC=grey_MarkovChain(EE,m) %二阶残差修正残差预测：EEData=grey_forecast(abs(EE),m,tran
English Description：
Using MATLAB for grey prediction, first test, after prediction, and then residual correction, generally the first order residual correction accuracy will be better, it is enough.