{"title":"元建模作为归纳建模工具通用化的一种方式","authors":"Y. Savchenko, V. Stepashko","doi":"10.1109/STC-CSIT.2018.8526582","DOIUrl":null,"url":null,"abstract":"The terminology and concept of metamodeling, examples of GMDH-based metamodels and ways to applying the principles of metamodeling for constructing models using the inductive approach are given. Metalearning is considered as a way to the adaptation of metamodels. An approach to the construction of a comprehensive inductive meamodeling system is proposed.","PeriodicalId":403793,"journal":{"name":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Metamodeling as a Way to Universalization of Inductive Modeling Tools\",\"authors\":\"Y. Savchenko, V. Stepashko\",\"doi\":\"10.1109/STC-CSIT.2018.8526582\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The terminology and concept of metamodeling, examples of GMDH-based metamodels and ways to applying the principles of metamodeling for constructing models using the inductive approach are given. Metalearning is considered as a way to the adaptation of metamodels. An approach to the construction of a comprehensive inductive meamodeling system is proposed.\",\"PeriodicalId\":403793,\"journal\":{\"name\":\"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/STC-CSIT.2018.8526582\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STC-CSIT.2018.8526582","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Metamodeling as a Way to Universalization of Inductive Modeling Tools
The terminology and concept of metamodeling, examples of GMDH-based metamodels and ways to applying the principles of metamodeling for constructing models using the inductive approach are given. Metalearning is considered as a way to the adaptation of metamodels. An approach to the construction of a comprehensive inductive meamodeling system is proposed.