{"title":"应用机器学习方法进行预测","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":"{\"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}","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}
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.