{"title":"机器学习方法在俄罗斯建筑行业应用的经验分析","authors":"Igor' Sorokin, Andrey Nastychuk","doi":"10.29039/2308-0191-2022-11-1-18-18","DOIUrl":null,"url":null,"abstract":"The purpose of this article is to analyze the theory and practice of applying machine learning methods in the construction industry. The research base was the national bibliographic database of scientific citation - RSCI. As a result of the analysis, it was revealed that the most common use of machine learning methods is in the oil and gas industry, and research in the construction industry is more of an overview.","PeriodicalId":40951,"journal":{"name":"Russian Journal of Building Construction and Architecture","volume":"37 1","pages":""},"PeriodicalIF":0.1000,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analysis of the experience of applying machine learning methods in the russian construction industry\",\"authors\":\"Igor' Sorokin, Andrey Nastychuk\",\"doi\":\"10.29039/2308-0191-2022-11-1-18-18\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this article is to analyze the theory and practice of applying machine learning methods in the construction industry. The research base was the national bibliographic database of scientific citation - RSCI. As a result of the analysis, it was revealed that the most common use of machine learning methods is in the oil and gas industry, and research in the construction industry is more of an overview.\",\"PeriodicalId\":40951,\"journal\":{\"name\":\"Russian Journal of Building Construction and Architecture\",\"volume\":\"37 1\",\"pages\":\"\"},\"PeriodicalIF\":0.1000,\"publicationDate\":\"2023-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Russian Journal of Building Construction and Architecture\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.29039/2308-0191-2022-11-1-18-18\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"CONSTRUCTION & BUILDING TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Russian Journal of Building Construction and Architecture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29039/2308-0191-2022-11-1-18-18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
Analysis of the experience of applying machine learning methods in the russian construction industry
The purpose of this article is to analyze the theory and practice of applying machine learning methods in the construction industry. The research base was the national bibliographic database of scientific citation - RSCI. As a result of the analysis, it was revealed that the most common use of machine learning methods is in the oil and gas industry, and research in the construction industry is more of an overview.
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