{"title":"利用辅助核层加快水下VLC系统中DNN均衡器的学习速度","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":"{\"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}","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}
Accelerating the Learning Speed of DNN Equalizer in Underwater VLC System by an Auxiliary Kernel Layer
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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