光通信技术2025，Vol.49Issue(3)：34-39,6.DOI:10.13921/j.cnki.issn1002-5561.2025.03.006
应用于光纤放大器的人工智能算法
Artificial intelligence algorithms applied to fiber amplifier
摘要
Abstract
To improve the design efficiency and performance of fiber amplifiers,this paper systematically investigates the appli-cation of artificial intelligence algorithms in fiber amplifier design,focusing on the roles of metaheuristic algorithms and neural networks in addressing three core challenges:inverse design,forward modeling,and dynamic control.The research demonstrates that metaheuristic algorithms(including genetic algorithms,particle swarm optimization,and simulated annealing)effectively op-timize multidimensional parameters such as fiber length and pump configurations through natural evolution or swarm intelligence simulations.Neural networks,with their superior nonlinear modeling capabilities,enable efficient solutions for gain spectrum pre-diction,quality of transmission(QoT)estimation,and pulse evolution simulation,showing significant computational speed ad-vantages over conventional numerical methods.Furthermore,the integration of metaheuristic algorithms with neural network technologies achieves adaptive real-time control in optical networks,successfully addressing the dynamic bandwidth require-ments of emerging applications like video streaming and cloud computing.Finally,prospects for the application of artificial intel-ligence algorithms in fiber amplifiers are discussed.关键词
光纤放大器/人工智能算法/元启发式算法/神经网络/机器学习/逆设计Key words
fiber amplifiers/artificial intelligence algorithms/metaheuristic algorithms/neural networks/machine learning/in-verse design分类
电子信息工程引用本文复制引用
张瑞华,张鹏飞,魏淮,宁提纲..应用于光纤放大器的人工智能算法[J].光通信技术,2025,49(3):34-39,6.基金项目
国家重点研发计划(2018YFB1801003)资助. （2018YFB1801003）
