{"title":"Machine learning as a tool for optimization of technological processes","authors":"E. Levchenko","doi":"10.32758/2782-3040-2021-1-1-44-47","DOIUrl":null,"url":null,"abstract":"The article discusses the problem of creating an optimization model of a technological process based on machine learning using the example of experience based on the H-Oil installation. The author showed the main approaches to such a model implementation, the architecture of the solution, and assessed the economic effect of such approaches.","PeriodicalId":23763,"journal":{"name":"World of petroleum products","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"World of petroleum products","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32758/2782-3040-2021-1-1-44-47","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The article discusses the problem of creating an optimization model of a technological process based on machine learning using the example of experience based on the H-Oil installation. The author showed the main approaches to such a model implementation, the architecture of the solution, and assessed the economic effect of such approaches.
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