• DocumentCode
    1585758
  • Title

    An analog neural network circuit with simultaneous perturbation learning rule

  • Author

    Maeda, Yutaka ; Kanata, Yakichi

  • Author_Institution
    Dept. of Electr. Eng., Kansai Univ., Osaka, Japan
  • Volume
    3
  • fYear
    1998
  • Firstpage
    94
  • Abstract
    In this paper, we describe an implementation of an analog neural network system using the simultaneous perturbation learning rule. Compared with usage of the ordinary back-propagation method, we could easily implement the simultaneous perturbation learning rule. The exclusive OR problem and a simple function problem are shown
  • Keywords
    analogue processing circuits; learning (artificial intelligence); neural nets; perturbation techniques; analog neural network circuit; exclusive OR problem; simultaneous perturbation learning rule; sin function problem; Circuits; Education; Electronic mail; Feedforward neural networks; Gradient methods; Neural network hardware; Neural networks; Newton method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
  • Conference_Location
    Monterey, CA
  • Print_ISBN
    0-7803-4455-3
  • Type

    conf

  • DOI
    10.1109/ISCAS.1998.703911
  • Filename
    703911
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1585758