{"title":"Comparison of Linear Regression and Neural Networks as Surrogates for Sensor Modeling on a Deep Drawn Part","authors":"Matthias Ryser, M. Bambach","doi":"10.1007/978-3-030-75381-8_50","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":422826,"journal":{"name":"Forming the Future","volume":"782 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forming the Future","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-030-75381-8_50","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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