{"title":"变体(品种)建模和数据分析","authors":"V. Gubarev","doi":"10.1109/KORUS.2000.866010","DOIUrl":null,"url":null,"abstract":"The purpose of this work is comparison of new kind of modelling of real objects-variant modelling (VM). The definitions of general terms and basic methods of variant modelling, the problems of selection, ordering and choice of models in such modelling, the basic of vector-modelling are discussed. The relation between VM and intelligent analysis of data are described.","PeriodicalId":20531,"journal":{"name":"Proceedings KORUS 2000. The 4th Korea-Russia International Symposium On Science and Technology","volume":"19 6","pages":"139-143 vol. 2"},"PeriodicalIF":0.0000,"publicationDate":"2000-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Variant (variety) modelling and data analysis\",\"authors\":\"V. Gubarev\",\"doi\":\"10.1109/KORUS.2000.866010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this work is comparison of new kind of modelling of real objects-variant modelling (VM). The definitions of general terms and basic methods of variant modelling, the problems of selection, ordering and choice of models in such modelling, the basic of vector-modelling are discussed. The relation between VM and intelligent analysis of data are described.\",\"PeriodicalId\":20531,\"journal\":{\"name\":\"Proceedings KORUS 2000. The 4th Korea-Russia International Symposium On Science and Technology\",\"volume\":\"19 6\",\"pages\":\"139-143 vol. 2\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings KORUS 2000. The 4th Korea-Russia International Symposium On Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/KORUS.2000.866010\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings KORUS 2000. The 4th Korea-Russia International Symposium On Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KORUS.2000.866010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The purpose of this work is comparison of new kind of modelling of real objects-variant modelling (VM). The definitions of general terms and basic methods of variant modelling, the problems of selection, ordering and choice of models in such modelling, the basic of vector-modelling are discussed. The relation between VM and intelligent analysis of data are described.