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The Attractors In Sequence Processing Neural Networks

Author

Listed:
  • YONG CHEN

    (Physics Department of Lanzhou University, China (730000), China)

  • YIN HAI WANG

    (Physics Department of Lanzhou University, China (730000), China)

  • KONG QING YANG

    (Physics Department of Lanzhou University, China (730000), China)

Abstract

The average length and average relaxation time of attractors in sequence processing neural networks are investigated. The simulation results show that a critical point of α, the loading ratio, is found. Below the turning point, the average length is equal to the number of stored patterns; conversely, the ratio of length and numbers of stored patterns, grow with an exponential dependenceexp(Aα). Moreover, we find that the logarithm of average relaxation time is only linearly associated with α and the turning point of coupling degree is located for examining robustness of networks.

Suggested Citation

  • Yong Chen & Yin Hai Wang & Kong Qing Yang, 2000. "The Attractors In Sequence Processing Neural Networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 11(01), pages 33-39.
    • Handle: RePEc:wsi:ijmpcx:v:11:y:2000:i:01:n:s0129183100000043
    DOI: 10.1142/S0129183100000043
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