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Forecasting Lightpath QoT with Deep Neural Networks

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Abstract

We propose multilayer perceptron (MLP) and long short-term memory (LSTM) deep neural network models trained with field data for forecasting the minimum quality of transmission of deployed lightpaths over horizons up to 72 hours.

© 2021 The Author(s)

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