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Conferences > ACPC > 2021 > T4A > T4A.104

Transfer Learning Aided Optical Nonlinear Equalization Based Feature Engineering Neural Network

Xianda Ren, Yongjun Wang, and Chao Li

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Abstract

We study the training mechanism of FE-DNN. The efficient training process is experimentally demonstrated for DP-16QAM coherent optical communication system. We have validated the training time can be reduced by 80% aided by transfer learning.

© 2021 The Author(s)

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