{"title":"Accelerating the Learning Speed of DNN Equalizer in Underwater VLC System by an Auxiliary Kernel Layer","authors":"N. Chi, Yiheng Zhao","doi":"10.1109/ICT.2019.8798820","DOIUrl":null,"url":null,"abstract":"We compared various kernel-aided deep neural network (K-DNN) equalizers, which can significantly reduce the iterative training times (ITTs) of the deep neural network (DNN) nonlinear equalizer.","PeriodicalId":127412,"journal":{"name":"2019 26th International Conference on Telecommunications (ICT)","volume":"418 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 26th International Conference on Telecommunications (ICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICT.2019.8798820","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
We compared various kernel-aided deep neural network (K-DNN) equalizers, which can significantly reduce the iterative training times (ITTs) of the deep neural network (DNN) nonlinear equalizer.
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