• DocumentCode
    1652940
  • Title

    On the sufficient conditions for the stability of nonlinear continuous neural networks

  • Author

    Xu, Jianping

  • Author_Institution
    Dept. of Electr. Eng., Southwest Jiaotong Univ., Sichuan, China
  • fYear
    1990
  • Firstpage
    1250
  • Abstract
    Based on the Maxwell minimum heating theorem and the stability criteria of continuous autonomous dynamic networks, the sufficient conditions for a stable content-addressable memory (CAM) neural network model are established. An example is given to illustrate the effect of the circuit parameters on the stability on the CAM neural network simulated by electronic devices. The approach presented should be helpful in stability analyses of other nonlinear continuous neural networks
  • Keywords
    content-addressable storage; neural nets; nonlinear network analysis; stability criteria; Maxwell minimum heating theorem; continuous autonomous dynamic networks; nonlinear continuous neural networks; stability criteria; stable content-addressable memory neural network model; CADCAM; Capacitors; Circuit stability; Computer aided manufacturing; Heating; Hopfield neural networks; Neural networks; Neurons; Stability analysis; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 1990. IECON '90., 16th Annual Conference of IEEE
  • Conference_Location
    Pacific Grove, CA
  • Print_ISBN
    0-87942-600-4
  • Type

    conf

  • DOI
    10.1109/IECON.1990.149316
  • Filename
    149316