• DocumentCode
    436368
  • Title

    Designing ADC by means of soft computing

  • Author

    Samie, Mohammad ; Farjah, E. ; Shabaninia, Faridoon

  • Author_Institution
    Department of Electrical Engineering, Shiraz University, Shiraz, IRAN
  • Volume
    17
  • fYear
    2004
  • fDate
    June 28 2004-July 1 2004
  • Firstpage
    561
  • Lastpage
    566
  • Abstract
    In this paper, the designing of ADC is studied by means of son computing. It is shown when fuzzy system has single input it can be multiplied in the premise rules by introducing proper fuzzy words and linguistic operator for amplifying knowledge base. Instinctive and learning behaviors, knowledge base and topology of circuit are found using fuzzy voronoi diagram in a POE model based program. This converter implements a set of processes during the analog to digital converting. It can be a fast ADC with more proper structure for hybrid neural network because its parameters are applied in training algorithms.
  • Keywords
    Analog-digital conversion; Circuit topology; Equations; Feedforward neural networks; Fuzzy neural networks; MOSFET circuits; Network topology; Neural networks; Neurons; Periodic structures; Analog to Digital Converter; Fuzzy; Neural Network; POE Model and Voronoi; RRF; Soft Computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Congress, 2004. Proceedings. World
  • Conference_Location
    Seville
  • Print_ISBN
    1-889335-21-5
  • Type

    conf

  • Filename
    1439426