Objectification and prediction of the subjective criticality of axle damages using artificial neural networks as well as multibody- and real-time simulations
{"title":"Objectification and prediction of the subjective criticality of axle damages using artificial neural networks as well as multibody- and real-time simulations","authors":"B. Schick, A. Lion, R. Schurmann, Philipp Rupp","doi":"10.1504/ijvp.2023.10055674","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":52169,"journal":{"name":"International Journal of Vehicle Performance","volume":"46 1","pages":""},"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 Vehicle Performance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijvp.2023.10055674","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
