A Meta-learning-assisted Training Framework with Confidence Interval for Optical Network Modeling

A reliable and accurate meta-learning-assisted training framework is proposed for deploying machine-learning-based applications to optical networks. The framework provides prediction confidence interval and makes better utilization of noisy data.