{"title":"基于BP神经网络算法的英语智能辅助教学系统数据分析研究","authors":"Yinghui Wang","doi":"10.1109/acait53529.2021.9731241","DOIUrl":null,"url":null,"abstract":"This study applies BP neural network to English teaching assistant system, confirms the parameters of BP neural network, then uses the students’ English test data of a university to train and test the system. The results show that the system can meet the error requirements when the parameters are fixed. Through the performance test of the test set data of the teaching aid system and comparison after the test, the results show that the error generated by the prediction results can meet the requirements of this kind of system.","PeriodicalId":173633,"journal":{"name":"2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on data analysis of English intelligent assistant teaching system based on BP neural network algorithm\",\"authors\":\"Yinghui Wang\",\"doi\":\"10.1109/acait53529.2021.9731241\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study applies BP neural network to English teaching assistant system, confirms the parameters of BP neural network, then uses the students’ English test data of a university to train and test the system. The results show that the system can meet the error requirements when the parameters are fixed. Through the performance test of the test set data of the teaching aid system and comparison after the test, the results show that the error generated by the prediction results can meet the requirements of this kind of system.\",\"PeriodicalId\":173633,\"journal\":{\"name\":\"2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/acait53529.2021.9731241\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/acait53529.2021.9731241","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on data analysis of English intelligent assistant teaching system based on BP neural network algorithm
This study applies BP neural network to English teaching assistant system, confirms the parameters of BP neural network, then uses the students’ English test data of a university to train and test the system. The results show that the system can meet the error requirements when the parameters are fixed. Through the performance test of the test set data of the teaching aid system and comparison after the test, the results show that the error generated by the prediction results can meet the requirements of this kind of system.