Optical Signal-to-Noise Ratio Prediction using Neural Networks for Multicast Light-Trees in Optical Networks

An adaptive method based on neural networks is proposed, which can simultaneously predict the signal-to-noise ratio at all destination nodes of one multicast light-tree. Results show the method is fast and has high accuracy.