Presentation Information
[ThG1-4]A General Model for Performance Parameters Prediction of Optical Transport Network Equipment
○Qian Guo1, Chunyu Zhang1, Min Zhang1, Xue Xiao1, Tongtong Wan1, Zhuo Liu2, Danshi Wang1 (1.Beijing University of Posts and Telecommunications, 2.China Mobile Communications Corporation)
Keywords:
Artificial intelligence and machine learning for optical transmission systems and subsystems
We propose a general performance parameters prediction scheme based on Time-Series LLM for optical transport network equipment, verifying that the model achieves better predictive effects on data sets of different equipment in optical transport network.