A study of the transiently chaotic neural network for combinatorial optimization.

DOI10.1016/S0895-7177(02)00254-6zbMath1134.90470OpenAlexW2038365451MaRDI QIDQ1410661

Zhen Ding, Henry C. M. Leung, Zhi Wen Zhu

Publication date: 14 October 2003

Published in: Mathematical and Computer Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0895-7177(02)00254-6

zbMATH Keywords

Combinatorial optimizationHopfield neural networkTransiently chaotic neural networkNonautonomous neural network

Mathematics Subject Classification ID

Combinatorial optimization (90C27) Dynamical systems in optimization and economics (37N40)

Related Items (2)

Delay-probability-distribution-dependent stability criteria for discrete-time stochastic neural networks with random delays ⋮ Minimizing interference in satellite communications using transiently chaotic neural networks

Cites Work

• ``Neural computation of decisions in optimization problems
• On the stability of the travelling salesman problem algorithm of Hopfield and Tank
• Chaos and asymptotical stability in discrete-time neural networks
• Analysis and synthesis of a class of neural networks: linear systems operating on a closed hypercube
• Global convergence and suppression of spurious states of the Hopfield neural networks
• Global searching ability of chaotic neural networks
• Global convergence of the Hopfield neural network with nonzero diagonal elements
• Neural networks and physical systems with emergent collective computational abilities.
• Neurons with graded response have collective computational properties like those of two-state neurons.

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