Trung Bui, F. Pashchenko, A. Pashchenko, Y. Kudinov
{"title":"利用神经网络预测汇率","authors":"Trung Bui, F. Pashchenko, A. Pashchenko, Y. Kudinov","doi":"10.1109/MLSD49919.2020.9247748","DOIUrl":null,"url":null,"abstract":"The article discusses the task of using an artificial neural network to predict the exchange rate. The factors affecting the US dollar to ruble exchange rate are analyzed. Based on the results of the analysis, an option is proposed for using a neural network to predict the exchange rate","PeriodicalId":103344,"journal":{"name":"2020 13th International Conference \"Management of large-scale system development\" (MLSD)","volume":"19 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using Neural Networks To Predict Exchange Rates\",\"authors\":\"Trung Bui, F. Pashchenko, A. Pashchenko, Y. Kudinov\",\"doi\":\"10.1109/MLSD49919.2020.9247748\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article discusses the task of using an artificial neural network to predict the exchange rate. The factors affecting the US dollar to ruble exchange rate are analyzed. Based on the results of the analysis, an option is proposed for using a neural network to predict the exchange rate\",\"PeriodicalId\":103344,\"journal\":{\"name\":\"2020 13th International Conference \\\"Management of large-scale system development\\\" (MLSD)\",\"volume\":\"19 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 13th International Conference \\\"Management of large-scale system development\\\" (MLSD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MLSD49919.2020.9247748\",\"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 13th International Conference \"Management of large-scale system development\" (MLSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MLSD49919.2020.9247748","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The article discusses the task of using an artificial neural network to predict the exchange rate. The factors affecting the US dollar to ruble exchange rate are analyzed. Based on the results of the analysis, an option is proposed for using a neural network to predict the exchange rate