{"title":"灰色离散时变模型及其应用","authors":"L. Wu, Ying-Jian Qi, Zheng-peng Wu","doi":"10.1109/GSIS.2015.7301862","DOIUrl":null,"url":null,"abstract":"Although the Grey Discrete Model and its improved models have been successfully employed in some fields and have promising results, the prediction results may be inaccurate sometime. We bring a grey discrete parameters model by introducing quadratic time-varying terms, which is called as quadratic time-varying parameters discrete grey model (referred to as QDGM (1, 1)). The paper investigates the properties of the new model, and concludes that QDGM (1, 1) possesses white exponential law coincidence, linear law coincidence, quadratic law coincidence. Then, we optimize the iterative starting value of the new model. Finally, the new model is compared with three discrete grey models using the same data instances. It is proved that the new model greatly improves the simulation and prediction precision.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Grey Discrete time-varying Model and Its application\",\"authors\":\"L. Wu, Ying-Jian Qi, Zheng-peng Wu\",\"doi\":\"10.1109/GSIS.2015.7301862\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although the Grey Discrete Model and its improved models have been successfully employed in some fields and have promising results, the prediction results may be inaccurate sometime. We bring a grey discrete parameters model by introducing quadratic time-varying terms, which is called as quadratic time-varying parameters discrete grey model (referred to as QDGM (1, 1)). The paper investigates the properties of the new model, and concludes that QDGM (1, 1) possesses white exponential law coincidence, linear law coincidence, quadratic law coincidence. Then, we optimize the iterative starting value of the new model. Finally, the new model is compared with three discrete grey models using the same data instances. It is proved that the new model greatly improves the simulation and prediction precision.\",\"PeriodicalId\":246110,\"journal\":{\"name\":\"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GSIS.2015.7301862\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GSIS.2015.7301862","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Grey Discrete time-varying Model and Its application
Although the Grey Discrete Model and its improved models have been successfully employed in some fields and have promising results, the prediction results may be inaccurate sometime. We bring a grey discrete parameters model by introducing quadratic time-varying terms, which is called as quadratic time-varying parameters discrete grey model (referred to as QDGM (1, 1)). The paper investigates the properties of the new model, and concludes that QDGM (1, 1) possesses white exponential law coincidence, linear law coincidence, quadratic law coincidence. Then, we optimize the iterative starting value of the new model. Finally, the new model is compared with three discrete grey models using the same data instances. It is proved that the new model greatly improves the simulation and prediction precision.