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Article Dans Une Revue Results in Optics Année : 2021

Modelling self-similar parabolic pulses in optical fibres with a neural network

Résumé

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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Dates et versions

hal-03032689 , version 1 (01-12-2020)
hal-03032689 , version 2 (28-02-2021)

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Sonia Boscolo, John M. Dudley, Christophe Finot. Modelling self-similar parabolic pulses in optical fibres with a neural network. Results in Optics, 2021, 3, pp.100066. ⟨10.1016/j.rio.2021.100066⟩. ⟨hal-03032689v2⟩
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