IDENTIFICATION OF BINARY CELLULAR AUTOMATA FROM SPATIO-TEMPORAL BINARY PATTERNS USING A FOURIER REPRESENTATION

DOI10.1142/S0218127407018166zbMath1141.37302OpenAlexW2134432370MaRDI QIDQ3510210

Lingzhong Guo, Stephen A. Billings

Publication date: 2 July 2008

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218127407018166

Mathematics Subject Classification ID

System identification (93B30) Least squares and related methods for stochastic control systems (93E24) Cellular automata (computational aspects) (68Q80) Dynamical aspects of cellular automata (37B15)

Cites Work

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• Extracting cellular automaton rules directly from experimental data
• A cellular automaton model of excitable media. II: Curvature, dispersion, rotating waves and meandering waves
• Boolean regression
• Pattern formation and periodic structures in systems modeled by reaction-diffusion equations
• Orthogonal least squares methods and their application to non-linear system identification
• The chemical basis of morphogenesis

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