Comparison between the dynamic behaviour of Chua-Yang and full-range cellular neural networks

DOI10.1002/cta.241zbMath1033.37045OpenAlexW2052159073MaRDI QIDQ4452401

Marco Gilli, Fernando Corinto

Publication date: 12 February 2004

Published in: International Journal of Circuit Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cta.241

zbMATH Keywords

cellular neural networkdesign methodsdynamic behaviournumerical simualtions

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural biology (92C20) Dynamical systems in biology (37N25) Neural networks for/in biological studies, artificial life and related topics (92B20) Cellular automata (computational aspects) (68Q80) Dynamical aspects of cellular automata (37B15) Simulation of dynamical systems (37M05) Qualitative investigation and simulation of ordinary differential equation models (34C60)

Related Items (6)

Łojasiewicz inequality and exponential convergence of the full‐range model of CNNs ⋮ On global exponential stability of standard and full‐range CNNs ⋮ Extended LaSalle's invariance principle for full-range cellular neural networks ⋮ TWO NEURON CNNS: SEARCH FOR LIMIT CYCLES ⋮ Nonlinear dynamics of full-range CNNs with time-varying delays and variable coefficients ⋮ CLASSIFYING WITH A TWO NEURON CNN

Cites Work

• Nonlinear oscillations, dynamical systems, and bifurcations of vector fields
• On the universe of stable cellular neural networks
• On the complete stability of nonsymmetric cellular neural networks

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