A discrete-time quantized-state Hopfield neural network

DOI10.1023/B:AMAI.0000038311.03614.F0zbMath1074.68048OpenAlexW2092575309MaRDI QIDQ702095

Carlos Bousoño-Calzón, Sancho Salcedo-Sanz

Publication date: 17 January 2005

Published in: Annals of Mathematics and Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/b:amai.0000038311.03614.f0

zbMATH Keywords

complexitystabilityconvergencescalabilityQuantized-state Hopfield neural network

Mathematics Subject Classification ID

Analysis of algorithms and problem complexity (68Q25) Analysis of algorithms (68W40) Learning and adaptive systems in artificial intelligence (68T05) Graph theory (including graph drawing) in computer science (68R10) Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.) (68Q17)

Related Items (2)

Parameter tuning of continuous Hopfield network applied to combinatorial optimization ⋮ Convergence and Stability of Quantized Hopfield Networks Operating in a Fully Parallel Mode

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