在平均绝对百分比误差最小准则下对DGM(1,1)进行建模

2009 Second International Symposium on Knowledge Acquisition and Modeling Pub Date : 2009-11-30 DOI:10.1109/KAM.2009.175

Lifeng Wu, Yinao Wang

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引用次数: 4

摘要

本文提出了在平均绝对百分比误差(MAPE)最小准则下估计DGM(1,1)模型参数的线性规划方法(有些作者称之为平均相对误差)。选取一篇已发表的文章对该方法进行了实际测试，结果表明该方法能明显提高仿真精度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Modelling DGM(1,1) under the Criterion of the Minimization of Mean Absolute Percentage Error

In this paper, we present linear programming method in order to estimate the parameters of the DGM(1,1) model under the criterion of the minimization of mean absolute percentage error (MAPE) (some authors called average relative error). A published article is chosen for practical tests of this method, the results show that this method can obviously improve the simulation accuracy.

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2009 Second International Symposium on Knowledge Acquisition and Modeling

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