机器学习方法在俄罗斯建筑行业应用的经验分析

IF 0.1 Q4 CONSTRUCTION & BUILDING TECHNOLOGY

Russian Journal of Building Construction and Architecture Pub Date : 2023-03-24 DOI:10.29039/2308-0191-2022-11-1-18-18

Igor' Sorokin, Andrey Nastychuk

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引用次数: 1

摘要

本文的目的是分析机器学习方法在建筑行业应用的理论和实践。研究基地为国家科学引文书目数据库RSCI。分析结果显示，机器学习方法最常见的应用是在石油和天然气行业，而在建筑行业的研究更多的是概述。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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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来源期刊

Russian Journal of Building Construction and Architecture CONSTRUCTION & BUILDING TECHNOLOGY-

自引率

50.00%

发文量