arXiv · 2012.01092
Modelling self-similar parabolic pulses in optical fibres with a neural network
Abstract
We expand our previous analysis of nonlinear pulse shaping in optical fibres using machine learning [Opt. Laser Technol., 131 (2020) 106439] to the case of pulse propagation in the presence of gain/loss, with a special focus on the generation of self-similar parabolic pulses. We use a supervised feedforward neural network paradigm to solve the direct and inverse problems relating to the pulse shaping, bypassing the need for direct numerical solution of the governing propagation model.
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Sonia Boscolo, John M. Dudley, Christophe Finot. 2020-12-02. Modelling self-similar parabolic pulses in optical fibres with a neural network. https://arxiv.org/abs/2012.01092
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