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Pattern recognition using chaotic neural networks

Author

Listed:
  • Z. Tan
  • B. S. Hepburn
  • C. Tucker
  • M. K. Ali

Abstract

Pattern recognition by chaotic neural networks is studied using a hyperchaotic neural network as model. Virtual basins of attraction are introduced around unstable periodic orbits which are then used as patterns. Search for periodic orbits in dynamical systems is treated as a process of pattern recognition. The role of synapses on patterns in chaotic networks is discussed. It is shown that distorted states having only limited information of the patterns are successfully recognized.

Suggested Citation

  • Z. Tan & B. S. Hepburn & C. Tucker & M. K. Ali, 1998. "Pattern recognition using chaotic neural networks," Discrete Dynamics in Nature and Society, Hindawi, vol. 2, pages 1-5, January.
    • Handle: RePEc:hin:jnddns:343681
    DOI: 10.1155/S1026022698000211
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    Cited by:

    1. Song, Aiguo & Duan, Jianghai & Wu, Juan & Li, Huijun, 2009. "Design 2D nonlinear system for information storage," Chaos, Solitons & Fractals, Elsevier, vol. 41(1), pages 157-163.

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