{"title":"The Correlation between Modern International Trade and Business English Based on Computer Software Analysis System","authors":"Qin Ying","doi":"10.1109/ITCA52113.2020.00038","DOIUrl":null,"url":null,"abstract":"The relevance of modern international trade and business English is studied based on computer software analysis system. Combined with the characteristics of computer software analysis system, a forgetting law model is proposed based on business English knowledge learning. Based on the characteristics of modern international trade development, BP neural network prediction model is established to analyze the export goods data to promote the wide application of business English. Finally, the algorithm is used to test the subject. The results show that the program can obviously overcome the forgetting of words and improve the vocabulary level of students. Modern international trade not only promotes the development of the national industrial economy, but also promotes the application of business English in modern international trade.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITCA52113.2020.00038","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 relevance of modern international trade and business English is studied based on computer software analysis system. Combined with the characteristics of computer software analysis system, a forgetting law model is proposed based on business English knowledge learning. Based on the characteristics of modern international trade development, BP neural network prediction model is established to analyze the export goods data to promote the wide application of business English. Finally, the algorithm is used to test the subject. The results show that the program can obviously overcome the forgetting of words and improve the vocabulary level of students. Modern international trade not only promotes the development of the national industrial economy, but also promotes the application of business English in modern international trade.
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