Predictor design of a novel grey model PGM21 using pseudo second-order information

Keh Tsong Li*, Yon-Ping Chen

*此作品的通信作者

研究成果: Article同行評審

2 引文 斯高帕斯(Scopus)

摘要

A novel grey model, called pseudo-GM(2,1) or PGM21 for simplicity, is developed to improve the prediction accuracy for a non-monotone sequence by modifying the GM(1,1) model with a remedial term. Since the remedial term consists of two development coefficients, it can be treated as a kind of second-order information, called the pseudo second-order information in this paper. With the remedial term, the PGM21 only costs a little higher computation time than the original GM(1,1) model; however, its prediction accuracy is highly increased. The important features of the PGM21 are demonstrated by numeric simulation results.

原文English
頁(從 - 到)395-400
頁數6
期刊JSME International Journal, Series C: Mechanical Systems, Machine Elements and Manufacturing
49
發行號2
DOIs
出版狀態Published - 15 12月 2006

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