{"title":"两种隐层神经网络的鲁棒和资源高效识别","authors":"M. Fornasier, T. Klock, Michael Rauchensteiner","doi":"10.1007/s00365-021-09550-5","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":50621,"journal":{"name":"Constructive Approximation","volume":"55 1","pages":"475 - 536"},"PeriodicalIF":2.3000,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s00365-021-09550-5","citationCount":"15","resultStr":"{\"title\":\"Robust and Resource-Efficient Identification of Two Hidden Layer Neural Networks\",\"authors\":\"M. Fornasier, T. Klock, Michael Rauchensteiner\",\"doi\":\"10.1007/s00365-021-09550-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":50621,\"journal\":{\"name\":\"Constructive Approximation\",\"volume\":\"55 1\",\"pages\":\"475 - 536\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2021-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1007/s00365-021-09550-5\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Constructive Approximation\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1007/s00365-021-09550-5\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Constructive Approximation","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s00365-021-09550-5","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS","Score":null,"Total":0}
期刊介绍:
Constructive Approximation is an international mathematics journal dedicated to Approximations and Expansions and related research in computation, function theory, functional analysis, interpolation spaces and interpolation of operators, numerical analysis, space of functions, special functions, and applications.