波分复用系统中传输质量估计数据

该数据集隶属于课题2, 针对波分复用系统的传输质量估计问题，提出了基于人工神经网络的机器学习模型和基于高斯噪声的分析模型，并在波分复用系统进行实验。实验原始数据采用标准计量过的标准仪器仪表测试得到，采用Matlab进行处理和图表绘制。支撑论文“Performance comparisons between machine learning and analytical models for quality of transmission estimation in wavelength-division-multiplexed systems”This dataset belongs to Project 2. For the quality of transmission estimation problem in wavelength-division-multiplexed systems, Project 2 proposes two models: a machine learning model based on artificial neural networks and an analytical model based on Gaussian noise. Experiments were conducted on a wavelength-division-multiplexed system. The raw experimental data was collected using calibrated standard measuring instruments, and processed along with chart generation using Matlab. This dataset supports the paper titled "Performance comparisons between machine learning and analytical models for quality of transmission estimation in wavelength-division-multiplexed systems"

搜集汇总

背景与挑战

背景概述

该数据集隶属于课题2，针对波分复用系统的传输质量估计，提出了基于人工神经网络的机器学习模型和基于高斯噪声的分析模型。实验数据通过标准仪器测试获得，并使用Matlab进行处理和图表绘制，以支撑相关论文的性能比较研究。