REALIZATION AND BIFURCATION OF BOOLEAN FUNCTIONS VIA CELLULAR NEURAL NETWORKS

DOI10.1142/S0218127405013277zbMath1092.37545MaRDI QIDQ5474280

Fangyue Chen, Guan-Rong Chen

Publication date: 23 June 2006

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

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Applications of dynamical systems (37N99) Local and nonlocal bifurcation theory for dynamical systems (37G99)

Related Items (5)

IDENTIFICATION AND REALIZATION OF LINEARLY SEPARABLE BOOLEAN FUNCTIONS VIA CELLULAR NEURAL NETWORKS ⋮ REALIZATION OF BOOLEAN FUNCTIONS VIA CNN WITH VON NEUMANN NEIGHBORHOODS ⋮ Topological equivalence classification and enumeration of \(n\)-input linearly separable Boolean functions ⋮ Universal Perceptron Theory on Decomposition Structures of n-Bit Boolean Functions ⋮ Topological Equivalence Classification of Balanced Linearly Separable Boolean Functions on n-Dimensional Hypercube

Cites Work

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• Cellular neural networks: theory
• CNN: A Vision of Complexity
• The CNN paradigm
• The CNN universal machine: an analogic array computer
• UNIVERSAL CNN CELLS
• Simplicial rtd-based cellular nonlinear networks

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