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matlab灰色预测

于 2022-05-28 发布 文件大小:2.88 kB
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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

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