• DocumentCode
    298400
  • Title

    A topological approach to analyze equilibrium configurations of neural network circuits

  • Author

    Forti, M. ; Manetti, S. ; Marini, M. ; Panti, E.

  • Author_Institution
    Dept. of Electron. Eng., Florence Univ., Italy
  • Volume
    1
  • fYear
    1994
  • fDate
    3-5 Aug 1994
  • Firstpage
    614
  • Abstract
    We analyze the equilibrium configurations of the additive neural network model by using topological methods (the degree theory and the concept of homotopy of odd vector fields). Useful results are obtained on the number, location and stability of equilibria
  • Keywords
    circuit stability; network topology; neural nets; additive model; equilibrium configurations; homotopy; neural network circuits; stability; topological analysis; vector fields; Additives; Associative memory; Cellular neural networks; Circuit stability; Electronic mail; Hopfield neural networks; Neural networks; Neurons; Stability analysis; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
  • Conference_Location
    Lafayette, LA
  • Print_ISBN
    0-7803-2428-5
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1994.519370
  • Filename
    519370
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=298400