{"title":"Applying Machine Learning Methods for Forecasting","authors":"E. Poymanova, T. Tatarnikova","doi":"10.1109/WECONF48837.2020.9131480","DOIUrl":null,"url":null,"abstract":"The article discusses the applying of machine learning methods for making a forecast. An experiment was carried out to build a forecast using several machine learning methods, the results are compared with the forecast results using the autoregressive integrated moving average model.","PeriodicalId":303530,"journal":{"name":"2020 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WECONF48837.2020.9131480","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The article discusses the applying of machine learning methods for making a forecast. An experiment was carried out to build a forecast using several machine learning methods, the results are compared with the forecast results using the autoregressive integrated moving average model.