Artificial neural networks for nonlinear pulse shaping in optical fibers

Sonia Boscolo, Christophe Finot*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review


    We use a supervised machine-learning model based on a neural network to predict the temporal and spectral intensity profiles of the pulses that form upon nonlinear propagation in optical fibers with both normal and anomalous second-order dispersion. We also show that the model is able to retrieve the parameters of the
    nonlinear propagation from the pulses observed at the output of the fiber. Various initial pulse shapes as well as initially chirped pulses are investigated.
    Original languageEnglish
    Article number106439
    Number of pages7
    JournalOptics and Laser Technology
    Early online date3 Jul 2020
    Publication statusPublished - Nov 2020

    Bibliographical note

    © 2020, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International


    • Neural networks
    • Nonlinear propagation
    • Optical fibers
    • Pulse shaping


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