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倒数累加生成灰色RGM(1,1)模型及其在化学动力学上的应用
引用本文:安燕,吴启勋.倒数累加生成灰色RGM(1,1)模型及其在化学动力学上的应用[J].计算机与应用化学,2006,23(2):187-189.
作者姓名:安燕  吴启勋
作者单位:青海民族学院化学系,青海,西宁,810007
基金项目:青海省重点学科建设项目;青海省教育厅资助项目
摘    要:通过原始数据序列的一次倒数累加生成,基于灰色系统理论建立了倒数累加生成灰色RGM(1,1)模型。给出了估计 RGM(1,1)模型参数的一个新方法。应用该模型成功地研究了化学动力学中反应物组成与反应时间之间的复杂化关系。该模型的算法概念明确,计算简便,有较高的拟合和预测精度。它的提出拓宽了灰色模型的应用范围。

关 键 词:灰色理论  倒数累加生成灰色RGM(1  1)模型  化学动力学
文章编号:1001-4160(2006)02-187-189
收稿时间:2004-03-19
修稿时间:2004-03-192004-09-08

Reciprocal accumulating generating model of grey system and its application to the study on chemical kinetics
AN Yan,WU QiXun.Reciprocal accumulating generating model of grey system and its application to the study on chemical kinetics[J].Computers and Applied Chemistry,2006,23(2):187-189.
Authors:AN Yan  WU QiXun
Affiliation:Department of Chemistry, Qinghai Nationalites College, Xining, 810007, Qinghai, China
Abstract:By primary reciprocal accumulating generating of primitive date sequence, this paper builds a reciprocal accumulating generating model of Grey System (GRM (1,1)) based on grey system theory and proposes a new method of estimation of the GRM (1,1) model parameters. The complicated relationships between the composition of reaction substance and reaction time on chemical kinetics have been successfully investigated using the grey model. The practical example show that reciprocal accumulating generating model of Grey System is definite in concept, convenient in calculation, good in fitting and precise in prediction, thus GRM (1,1) improves the precision of the GM (1,1) model and enlarges its application scope.
Keywords:grey theory  reciprocal accumulating generating model of grey system ( GRM (1  1))  chemical kinetics
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