Reservoir computing for forecasting large spatiotemporal dynamical systems

DOI10.1007/978-981-13-1687-6_6zbMath1482.68203OpenAlexW3192915838MaRDI QIDQ2231906

Edward Ott, Jaideep Pathak

Publication date: 30 September 2021

Full work available at URL: https://doi.org/10.1007/978-981-13-1687-6_6

zbMATH Keywords

recurrent neural networksmachine learningspatiotemporal chaosreservoir computingdata-driven modelsecho state networks

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45) Networks and circuits as models of computation; circuit complexity (68Q06)

Cites Work

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• Constrained Multi-global Optimization using a Penalty Stretched Simulated Annealing Framework

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