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基于Markov理论的改进灰色GM(1,1)预测模型研究
引用本文:高蔚.基于Markov理论的改进灰色GM(1,1)预测模型研究[J].计算机工程与科学,2011,33(2):159-163.
作者姓名:高蔚
作者单位:上海工程技术大学汽车学院,上海,201620
基金项目:上海高校知识创新工程(085工程)建设项目(JZ0901)
摘    要:在灰色预测的基础上,引入马尔可夫链预测理论,建立了灰色马尔可夫预测模型.它是将灰色预测模型与马尔可夫预测方法优化组合,用灰色预测模型预测随机时间序列数据的总体发展趋势,而用马尔可夫链模型预测各数据在总体趋势下的随机波动性变化,得到随机时间序列趋势预测模型的解.通过公路运输实际数据进行了验证,结果表明:灰色马尔可夫预测模...

关 键 词:灰色模型  马尔可夫模型  不确定度  优化

An Improved GM(1,1)Forecast Model Based on the Markov Theory
GAO Wei.An Improved GM(1,1)Forecast Model Based on the Markov Theory[J].Computer Engineering & Science,2011,33(2):159-163.
Authors:GAO Wei
Affiliation:GAO Wei(School of Automotive Engineering,Shanghai University of Engineering Science,Shanghai 201620,China)
Abstract:Based on the gray method of forecast,the Markov chains forecast method is presented and a gray-Markov model for forecast is proposed in this paper.The solution of the statistical model is got by the merits combination of both gray forecast and the Markov forecast,a gray system model is used to forecast the general trend of the data series' changing status,and a time series Markov chain model is used to forecast the fluctuation of data change along the general trend.The example of highway transport enterpris...
Keywords:gray model  Markov model  uncertainty  optimization  
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