Modelling self-similar parabolic pulses in optical fibres with a neural network
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
