Grey GRM(1, 1) Model Based on Reciprocal Accumulated Generating and Its Application  

作　　者：Ruibiao Zou Haiyan Wu 

机构地区：[1]College of Sciences, Hunan Agriculture University, Changsha, China

出　　处：《Applied Mathematics》2012年第6期554-556,共3页应用数学（英文）

摘　　要：Aiming the problem of low accuracy during establishing grey model in which monotonically decreasing sequence data and traditional modeling methods are used, this paper applied the reciprocal accumulated generating and the approach optimizing grey derivative which is based on three points to deduce the calculation formulas for model parameters, established grey GRM(1, 1) model based on reciprocal accumulated generating. It provides a new method for the grey modeling. The example validates the practicability and reliability of the proposed model.Aiming the problem of low accuracy during establishing grey model in which monotonically decreasing sequence data and traditional modeling methods are used, this paper applied the reciprocal accumulated generating and the approach optimizing grey derivative which is based on three points to deduce the calculation formulas for model parameters, established grey GRM(1, 1) model based on reciprocal accumulated generating. It provides a new method for the grey modeling. The example validates the practicability and reliability of the proposed model.

关 键 词：Reciprocal Accumulated GENERATING GREY GRM MODEL DATA PROCESSING GREY MODELING 

分 类 号：O1[理学—数学]