• DocumentCode
    3592481
  • Title

    Basis Functions of the Multidimensional CMAC Neural Network

  • Author

    Avedyan, Eduard

  • Author_Institution
    Dept. of Radio Eng. & Cybern., Moscow Inst. of Phys. & Technol. (State Univ.), Moscow, Russia
  • fYear
    2014
  • Firstpage
    63
  • Lastpage
    66
  • Abstract
    The short introduction to the cerebellar model articulation controller (the CMAC neural network) and its main properties are presented. It is shown that the basis functions of the CMAC neural network are given implicitly, the number of these function is finite, and they have the incorrect pyramid forms. The expressions for the number of these function is given.
  • Keywords
    cerebellar model arithmetic computers; learning (artificial intelligence); CMAC neural network; basis function; cerebellar model articulation controller; learning algorithm; Accuracy; Approximation methods; Artificial neural networks; Mathematical model; Noise; Training; CMAC neural network; basis functions; learning algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering and Telecommunication (EnT), 2014 International Conference on
  • Print_ISBN
    978-1-4799-7011-7
  • Type

    conf

  • DOI
    10.1109/EnT.2014.23
  • Filename
    7121435
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3592481