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The Combination Forecasting Based On Markov Chain

Posted on:2013-05-02Degree:MasterType:Thesis
Country:ChinaCandidate:C ZhangFull Text:PDF
GTID:2249330395969203Subject:Applied Mathematics
Abstract/Summary:PDF Full Text Request
This paper presents a combination forecasting model based on Markovchain.And this paper gives some related calculation method,For example, aprediction model for sorting etc.Because this new combination forecasting methodbased on combination of many kinds of Markov chain prediction method,therefore ithas so many advantages. Therefore, this kind of combination forecasting method inaiming at problems predicted or on a variety of model’s selection have goodperformance.(1)This paper Using level characteristics to a variety of Markov chain model wasused in combination forecasting.(2)And the predicted results of applying the method of grey correlative analysisto choose,and the use of combination forecast model to forecast.(3)Enlarge the method into three kinds:short forecasting, metaphase forecasting,permanent forecasting.(4)At the same time,this paper established based on combination forecastmethod of rainfall forecast model.so,this method based on combined forecastingmodel has been more widely applied. In order to test the effectiveness of thecombination forecasting model,this article on a specific issue made a predictionstudy,and all the predictions of the model are compared and analysised. The resultsshow that this proposed combination forecast method of prediction accuracy ishigher than other prediction model.
Keywords/Search Tags:Markov chains, weight coefficient, level characteristics, combinationmethod, optimization
PDF Full Text Request
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