2000 character limit reached
Machine learning-based Raman amplifier design
Published 31 Oct 2018 in physics.app-ph | (1811.10381v1)
Abstract: A multi-layer neural network is employed to learn the mapping between Raman gain profile and pump powers and wavelengths. The learned model predicts with high-accuracy, low-latency and low-complexity the pumping setup for any gain profile.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.
