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Computational abilities of a chaotic neural network

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Publication:1401524
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DOI10.1016/S0375-9601(03)01002-8zbMath1046.68093MaRDI QIDQ1401524

Etsumasa Hiura, Toshijiro Tanaka

Publication date: 17 August 2003

Published in: Physics Letters. A (Search for Journal in Brave)


zbMATH Keywords

chaos oscillatorpiecewise sine mapself-association


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)


Related Items (2)

Chaotic Hopfield neural network swarm optimization and its application ⋮ CONTROLLING CHAOS IN A CHAOTIC NEURON MODEL



Cites Work

  • Optimization by Simulated Annealing
  • Globally coupled circle maps
  • ``Neural computation of decisions in optimization problems
  • On the stability of the travelling salesman problem algorithm of Hopfield and Tank
  • A neural network model as a globally coupled map and applications based on chaos
  • Neural networks and physical systems with emergent collective computational abilities.
  • Learning representations by back-propagating errors
  • Neurons with graded response have collective computational properties like those of two-state neurons.
  • On a response characteristic of a mathematical neuron model
  • A logical calculus of the ideas immanent in nervous activity


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