Accelerating the Learning Speed of DNN Equalizer in Underwater VLC System by an Auxiliary Kernel Layer

N. Chi, Yiheng Zhao
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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.
利用辅助核层加快水下VLC系统中DNN均衡器的学习速度
我们比较了各种核辅助深度神经网络(K-DNN)均衡器,这些均衡器可以显著减少深度神经网络(DNN)非线性均衡器的迭代训练次数(ITTs)。
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