Prediction of Second-Order Moments of Inter-Channel Interference with Principal Component Analysis and Neural Networks
نویسندگان
چکیده
A machine learning framework for predicting auto-correlation functions of inter-channel nonlinearities within the uncompensated optical fiber link is proposed. Low generalization error is obtained on the test data.
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تاریخ انتشار 2017