Machine learning applied to pattern characterization in spatially extended dynamical systems

DOI10.1016/J.PHYSA.2021.126823OpenAlexW4200216658MaRDI QIDQ2669337

Ricardo L. Viana, S. T. da Silva, C. A. S. Batista

Publication date: 9 March 2022

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2021.126823

zbMATH Keywords

nonlinear dynamicscomplex systemsmachine learningdynamic systemsspatiotemporal chaoschaotic defects

Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)

Uses Software

• PMTK
• GitHub

Cites Work

• Pattern dynamics in spatiotemporal chaos. Pattern selection, diffusion of defect and pattern competition intermittency
• Analytical Method of Controlling Chaos in Duffing's Oscillator
• Complexity
• Correlated Brownian motion and diffusion of defects in spatially extended chaotic systems
• Nearest neighbor pattern classification
• Comparison of sequential and nonsequential detection systems with uncertainty feedback
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