@inproceedings{c42cd610445440bf9e20c7239f41299b,
title = "Handling Multilayer Neural Network Nonlinear Equalizer Complexity and overfitting Challenges Using L1-Regularization for 112Gbps Optical Interconnects",
abstract = "We propose an L1-regularized multilayer neural network nonlinear equalizer (L1PML-NLE) for inter-data-center interconnects. Compared with conventional and sparse VNLE, the L1PML-NLE reduces 81% and 57.8% complexity with improved BER performance for 40-km 112-Gb/s PAM4 transmission.",
author = "Yadav, {Govind Sharan} and Chuang, {Chun Yen} and Feng, {Kai Ming} and Jyehong Chen and Chen, {Young Kai}",
note = "Publisher Copyright: {\textcopyright} 2021 OSA.; 2021 Opto-Electronics and Communications Conference, OECC 2021 ; Conference date: 03-07-2021 Through 07-07-2021",
year = "2021",
language = "English",
series = "2021 Opto-Electronics and Communications Conference, OECC 2021",
publisher = "The Optical Society",
booktitle = "Optoelectronics and Communications Conference, OECC 2021",
address = "美國",
}