• DocumentCode
    1576963
  • Title

    On finite automata principles of analysis and synthesis of neural-like structures

  • Author

    Divnov, S.A. ; Fofanov, Yu V. ; Naumov, A.V.

  • fYear
    1992
  • Firstpage
    1201
  • Abstract
    An approach to the interpretation of spin system behavior is presented. In this framework, it is possible to describe system dynamics using the theory of finite automata. The authors consider problems relating to experiment planning theory applied to the construction of finite automata, the interpretation of the Hopfield network as a finite automaton, and the simulation of finite automaton behavior on it
  • Keywords
    Associative memory; Automata; Equations; Glass; Gradient methods; Machine vision; Network synthesis; Neural networks; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on
  • Conference_Location
    Rostov-on-Don
  • Print_ISBN
    0-7803-0809-3
  • Type

    conf

  • DOI
    10.1109/RNNS.1992.268513
  • Filename
    268513