Template design methods for binary stable cellular neural networks

DOI10.1002/cta.197zbMath1013.68170OpenAlexW1989191559MaRDI QIDQ4539902

Marco Gilli, Pier Paolo Civalleri

Publication date: 11 July 2002

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.197

zbMATH Keywords

cellular neural networks

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10)

Uses Software

• CNN

Cites Work

• Unnamed Item
• Systems of Differential Equations that are Competitive or Cooperative II: Convergence Almost Everywhere
• Cellular neural networks: theory
• On the universe of stable cellular neural networks
• Estimation of the basin of attractions in CNNs
• A rigorous design method for binary cellular neural networks
• The CNN paradigm
• Bifurcation and chaos in cellular neural networks
• Finding all stable equilibria of cellular neural networks
• On the dynamic behaviour of two‐cell cellular neural networks
• On locally regular cellular neural networks
• Global dynamic behaviour of a three‐cell connected component detector cnn

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