{"title":"基于Romber算法和二次插值法对GM(1,1)进行优化","authors":"Bo Li, Shengrong Zhao, Ling Fang","doi":"10.1109/ICACIA.2009.5361136","DOIUrl":null,"url":null,"abstract":"This text analyzed the reason of generating error of GM (1, 1), from the integral calculus angle discrete GM (1, 1). A kind of method putting forward making use of Romberg integral calculus formula and quadratic interpolation method to construct the background value of the model, raised simulation and prediction precision of GM(1,1), and the actual example verify the feasibility and effectiveness of this method.","PeriodicalId":423210,"journal":{"name":"2009 International Conference on Apperceiving Computing and Intelligence Analysis","volume":"126 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimized GM (1, 1) based on Romber algorithm and quadratic interpolation method\",\"authors\":\"Bo Li, Shengrong Zhao, Ling Fang\",\"doi\":\"10.1109/ICACIA.2009.5361136\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This text analyzed the reason of generating error of GM (1, 1), from the integral calculus angle discrete GM (1, 1). A kind of method putting forward making use of Romberg integral calculus formula and quadratic interpolation method to construct the background value of the model, raised simulation and prediction precision of GM(1,1), and the actual example verify the feasibility and effectiveness of this method.\",\"PeriodicalId\":423210,\"journal\":{\"name\":\"2009 International Conference on Apperceiving Computing and Intelligence Analysis\",\"volume\":\"126 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Apperceiving Computing and Intelligence Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACIA.2009.5361136\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Apperceiving Computing and Intelligence Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACIA.2009.5361136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimized GM (1, 1) based on Romber algorithm and quadratic interpolation method
This text analyzed the reason of generating error of GM (1, 1), from the integral calculus angle discrete GM (1, 1). A kind of method putting forward making use of Romberg integral calculus formula and quadratic interpolation method to construct the background value of the model, raised simulation and prediction precision of GM(1,1), and the actual example verify the feasibility and effectiveness of this method.
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