论文标题
光纤中非线性脉冲成型的人工神经网络
Artificial neural networks for nonlinear pulse shaping in optical fibers
论文作者
论文摘要
我们使用基于神经网络的有监督的机器学习模型来预测在具有正常和异常二阶分散的光纤维中非线性传播时形成的脉冲的时间和光谱强度曲线。我们还表明，该模型能够从纤维输出下观察到的脉冲中检索非线性传播的参数。研究了各种初始脉冲形状以及最初的搅动脉冲。
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.
