光通信系统中孤子脉冲的物理信息神经网络建模

Joshua Uduagbomen, S. Lakshminarayana, M. Leeson, Tianhua Xu
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引用次数: 1

摘要

针对孤子传播的情况,利用物理信息神经网络求解了模拟脉冲在光纤中传播的非线性Schródinger方程。根据精确解(使用龙格-库塔法计算)测量的预测精度为2.223×10−3。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Physics-Informed Neural Network Modeling of Soliton Pulses in Optical Communication Systems
The nonlinear Schródinger equation which models the pulse propagation in an optical fiber is solved using a physics-informed neural network for the case of soliton propagation. The prediction accuracy, measured against the exact solution (computed using the Runge-Kutta method), is found to be 2.223×10−3.
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