Large-Scale Optical Reservoir Computing for Spatiotemporal Chaotic Systems Prediction
Mushegh Rafayelyan, Jonathan Dong, Yongqi Tan, Florent Krząkała, Sylvain Gigan
Abstract
Experiments show that an optical approach to neural network implementation can solve complex problems in predicting large chaotic systems, a promising step in the quest to scale up artificial neural networks.
Topics & Concepts
Reservoir computingComputer scienceChaoticChaotic systemsScale (ratio)Statistical physicsArtificial intelligencePhysicsArtificial neural networkQuantum mechanicsRecurrent neural networkNeural Networks and Reservoir ComputingOptical Network TechnologiesSlime Mold and Myxomycetes Research