{"title":"利用改进的多层感知向量机预测企业税收风险","authors":"Yi Liu","doi":"10.1504/ijwet.2023.10059297","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":39662,"journal":{"name":"International Journal of Web Engineering and Technology","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predicting the enterprise tax risk using improved multilayer perceptive vector machine\",\"authors\":\"Yi Liu\",\"doi\":\"10.1504/ijwet.2023.10059297\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":39662,\"journal\":{\"name\":\"International Journal of Web Engineering and Technology\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Web Engineering and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijwet.2023.10059297\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Web Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijwet.2023.10059297","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}
期刊介绍:
The IJWET is a refereed international journal providing a forum and an authoritative source of information in the fields of web engineering and web technology. It is devoted to innovative research in the analysis, design, development, use, evaluation and teaching of web-based systems, applications, sites and technologies.