• DocumentCode
    686307
  • Title

    Fuzzy operator and three dimensional neural network for pattern recognition problem

  • Author

    Dyusembaev, Anuar ; Kaliazhdarov, Danabek ; Grishko, Mikhail

  • Author_Institution
    Dept. of Inf. Syst., KazNU, Almaty, Kazakhstan
  • fYear
    2013
  • fDate
    6-8 Dec. 2013
  • Firstpage
    230
  • Lastpage
    233
  • Abstract
    In the report a non-classical type of neural network is described. The structure of neural network (NN) takes into consideration both differences among inputs of neural network and “physical nature” of pattern recognition process. In this respect a different combinations of various types of inputs of neural network are singled out in advance. Method of the development based on a special fuzzy operator and a problem of correctness network´s solution is being considered as problem of solvability for operator equation. The construction gives opportunity to state a problem of existence and finding exact solution for pattern recognition problem.
  • Keywords
    fuzzy set theory; neural nets; pattern recognition; correctness network solution; fuzzy operator; operator equation; pattern recognition problem; three dimensional neural network; Artificial neural networks; Biological neural networks; Educational institutions; Equations; Mathematical model; Neurons; Pattern recognition; algebra; correctness; fuzzy operator; neural network; weights;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Theory and Its Applications (iFUZZY), 2013 International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/iFuzzy.2013.6825441
  • Filename
    6825441