Bayesian framework for simulation of dynamical systems from multidimensional data using recurrent neural network

DOI10.1063/1.5128372zbMath1429.37048OpenAlexW2995327117WikidataQ92362573 ScholiaQ92362573MaRDI QIDQ5213523

Alexander Feigin, Dmitry Mukhin, Evgeny Loskutov, Unnamed Author, Andrey Gavrilov

Publication date: 3 February 2020

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1063/1.5128372

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Time series analysis of dynamical systems (37M10)

Related Items (1)

Analysis of 20th century surface air temperature using linear dynamical modes

Uses Software

• Adam

Cites Work

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• Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks
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• Approximation by superpositions of a sigmoidal function

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