• DocumentCode
    2692819
  • Title

    A simple and converged structure of addressing technique for CMAC_GBF

  • Author

    Chiang, Ching-Tsan ; Chiang, Tung-sheng ; Li, Chien-Kuo

  • Author_Institution
    Dept. of Electr. Eng., Ching Yun Univ., Jung-Li, Taiwan
  • Volume
    7
  • fYear
    2004
  • fDate
    10-13 Oct. 2004
  • Firstpage
    6097
  • Abstract
    This paper proposed a simple and converged structure of addressing technique for CMAC_GBF (cerebellar model articulation controller with general basis function). The structure of addressing technique for original CMAC_GBF has two major problems: one is the structure of addressing technique does not have a fixed procedure to find it, the other is the memory size growing too large in the high dimension input space systems. In this paper, the procedure to find the simple structure is developed. The mathematical basis for this simple structure is derived and the learning convergence is guaranteed. Simulations for the simple structure of CMAC_GBF are performed to demonstrate the learning performance and the capability in reducing the memory size of system.
  • Keywords
    cerebellar model arithmetic computers; learning (artificial intelligence); mathematical analysis; neurocontrollers; storage allocation; CMAC_GBF; addressing technique; cerebellar model articulation controller; converged structure; general basis function; high dimension input space systems; learning convergence; mathematical basis; Control systems; Convergence; Electrical equipment industry; Fuel storage; Geology; Hypercubes; Industrial control; Manipulators; Quantization; Robot control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2004 IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-8566-7
  • Type

    conf

  • DOI
    10.1109/ICSMC.2004.1401355
  • Filename
    1401355