{"title":"The Simulation Modeling About The Developments of GDP, Population and Primary Energy Consumption in China Based on MATLAB","authors":"GuoDong Li, D. Yamaguchi, Hui-Shan Lin, M. Nagai","doi":"10.1109/ICCIS.2006.252244","DOIUrl":null,"url":null,"abstract":"In this paper, we proposed a new grey model (GM) to realize the predictions and analyses of GDP structure, population structure and primary energy consumption structure from year 2004 to 2010 based on the data from 1995 to 2003. The improved GM is obtained by the following procedure: first, statistical method of linear regression is integrated into GM to enhance prediction capability. Second, residual error modification with Markov-chain sign estimation further improve the accuracy. By the above procedure, proposed GM is expected to have better prediction performance. We discussed the development relationship between GDP structure, population structure and energy consumption structure in the future. Furthermore, the experiment is realized based on Matlab and we showed the results of Matlab simulation modeling","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE Conference on Cybernetics and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIS.2006.252244","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
In this paper, we proposed a new grey model (GM) to realize the predictions and analyses of GDP structure, population structure and primary energy consumption structure from year 2004 to 2010 based on the data from 1995 to 2003. The improved GM is obtained by the following procedure: first, statistical method of linear regression is integrated into GM to enhance prediction capability. Second, residual error modification with Markov-chain sign estimation further improve the accuracy. By the above procedure, proposed GM is expected to have better prediction performance. We discussed the development relationship between GDP structure, population structure and energy consumption structure in the future. Furthermore, the experiment is realized based on Matlab and we showed the results of Matlab simulation modeling
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