• DocumentCode
    619286
  • Title

    Application of intelligent technique for development of Colpitts oscillator

  • Author

    Amsa, Mohamad Ghazali b. Ameer ; Aibinu, A.M. ; Salami, M.J.E.

  • Author_Institution
    Mechatron. Dept., Int. Islamic Univ. Malaysia (IIUM), Gombak, Malaysia
  • fYear
    2013
  • fDate
    7-9 April 2013
  • Firstpage
    617
  • Lastpage
    622
  • Abstract
    In this paper, new method of Colpitts oscillator designing through combination of Genetic Algorithm and Artificial Neural Network (ANN) has been suggested. The Thevenin´s resistors for the common base Colpitts oscillator are optimized through application of GA and ANN. The developed common base Colpitts oscillator has shortest transient time response and stable Direct Current (DC) stability in the long term operation. Involvement of GA and ANN successfully optimize between transient time response and steady state response of common base oscillator. Application of these two artificial intelligent techniques assist faster selection of optimizes components values such as resistance values during circuit development rather than conventional method which used intuition techniques to develop the circuit.
  • Keywords
    genetic algorithms; network synthesis; neural nets; oscillators; ANN; Colpitts oscillator design; Thevenin´s resistors; artificial intelligent techniques; artificial neural network; circuit development; common base oscillator; direct current stability; genetic algorithm; transient time response; Artificial neural networks; Genetic algorithms; Oscillators; Resistors; Time factors; Transient analysis; Transient response; Artificial Neural Network; Colpitts oscillator; Genetic Algorithm; Intelligent Technique;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Engineering and Industrial Applications Colloquium (BEIAC), 2013 IEEE
  • Conference_Location
    Langkawi
  • Print_ISBN
    978-1-4673-5967-2
  • Type

    conf

  • DOI
    10.1109/BEIAC.2013.6560204
  • Filename
    6560204