论文标题
基于主动学习的物理知识的EDFA增益模型
Physics-informed EDFA Gain Model Based on Active Learning
论文作者
论文摘要
我们建议基于主动学习方法的物理信息EDFA增益模型。实验结果表明,与常规方法相比,提出的建模方法可以达到更高的最佳精度,并降低约90%的训练数据,以达到相同的性能。
We propose a physics-informed EDFA gain model based on the active learning method. Experimental results show that the proposed modelling method can reach a higher optimal accuracy and reduce ~90% training data to achieve the same performance compared with the conventional method.