• DocumentCode
    2618470
  • Title

    Adaptive input field neural network

  • Author

    Asogawa, Minoru

  • Author_Institution
    NEC Corp., Kanagawa, Japan
  • fYear
    1991
  • fDate
    18-21 Nov 1991
  • Firstpage
    83
  • Abstract
    Previously, the author presented an adaptive input field neural network (AIFNN) which can appropriately handle positional and temporal variance and distortion. In the present work, the AIFNN convergence is shown by utilizing a Lyapunov function. Two methods for avoiding AIFNN adaptation to an incorrect category are proposed. An AIFNN application-offset and gain adjustment-is proposed
  • Keywords
    convergence; neural nets; Lyapunov function; adaptive input field neural network; convergence; distortion; gain adjustment; offset; positional variance; temporal variance; Adaptation model; Character recognition; Convergence; Laboratories; Lyapunov method; National electric code; Neural networks; Neurons; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1991. 1991 IEEE International Joint Conference on
  • Print_ISBN
    0-7803-0227-3
  • Type

    conf

  • DOI
    10.1109/IJCNN.1991.170385
  • Filename
    170385
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2618470