• DocumentCode
    3571809
  • Title

    Stability of Almost Periodic Solution for BAM Neural Networks with Delays

  • Author

    Zhao, Bao-zhu ; Xu, Jie-hong ; Zhang, Qing

  • Author_Institution
    Found. Dept., Sichuan TOP Vocational Inst. of Inf. Technol., Chengdu, China
  • Volume
    2
  • fYear
    2012
  • Firstpage
    494
  • Lastpage
    497
  • Abstract
    This paper presents a sufficient condition for the global asymptotic stability of the equilibrium point for bidirectional associative memory (BAM) neural networks with variable coefficients. The results impose constraint conditions on the network parameters of neural system independently of variable coefficients, and they are applicable to all bounded continuous non-monotonic neuron activation functions.
  • Keywords
    asymptotic stability; delays; neural nets; BAM neural network stability; almost periodic solution; bidirectional associative memory; bounded continuous nonmonotonic neuron activation function; constraint condition; delay; equilibrium point; global asymptotic stability; sufficient condition; variable coefficient; Associative memory; Asymptotic stability; Biological neural networks; Circuit stability; Delay; Stability analysis; BAM; neural networks; stability; variable coefficients;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
  • Print_ISBN
    978-1-4673-0689-8
  • Type

    conf

  • DOI
    10.1109/ICCSEE.2012.70
  • Filename
    6188076
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3571809