Convergence of discrete-time cellular neural networks with interlaced block-sequential dynamics

DOI<link itemprop=identifier href="https://doi.org/10.1002/(SICI)1097-007X(199907/08)27:4<367::AID-CTA53>3.0.CO;2-C" /><367::AID-CTA53>3.0.CO;2-C 10.1002/(SICI)1097-007X(199907/08)27:4<367::AID-CTA53>3.0.CO;2-CzbMath0958.93060OpenAlexW2034392132MaRDI QIDQ4269826

Renzo Perfetti

Publication date: 15 February 2000

Full work available at URL: https://doi.org/10.1002/(sici)1097-007x(199907/08)27:4<367::aid-cta53>3.0.co;2-c

zbMATH Keywords

convergence conditionsdiscrete-time cellular neural networksblock-sequential dynamics

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Discrete-time control/observation systems (93C55)

Cites Work

• Discrete-time cellular neural networks
• On the convergence of reciprocal discrete-time cellular neural networks
• Some properties of the attractors of discrete‐time cellular neural networks

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