{"title":"技术对象自动化的数据分类算法","authors":"L. P. Kozlova, O. Kozlova","doi":"10.1109/EIConRus49466.2020.9038966","DOIUrl":null,"url":null,"abstract":"Modern technical systems require a high level of automation, which implies a number of tasks of different levels of complexity. One of them is the task of classification, which, on the one hand seems simple and understandable, but at the same time, contains many aspects that require attention and detailed study.","PeriodicalId":333365,"journal":{"name":"2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data Classification Algorithms for Automation of Technological Objects\",\"authors\":\"L. P. Kozlova, O. Kozlova\",\"doi\":\"10.1109/EIConRus49466.2020.9038966\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modern technical systems require a high level of automation, which implies a number of tasks of different levels of complexity. One of them is the task of classification, which, on the one hand seems simple and understandable, but at the same time, contains many aspects that require attention and detailed study.\",\"PeriodicalId\":333365,\"journal\":{\"name\":\"2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)\",\"volume\":\"102 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EIConRus49466.2020.9038966\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIConRus49466.2020.9038966","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data Classification Algorithms for Automation of Technological Objects
Modern technical systems require a high level of automation, which implies a number of tasks of different levels of complexity. One of them is the task of classification, which, on the one hand seems simple and understandable, but at the same time, contains many aspects that require attention and detailed study.