• DocumentCode
    2377152
  • Title

    Estimate DC Characteristics of OPAMP with Neural Networks

  • Author

    Ranjbaran, Roxana ; Goodarzi, Mahdi ; Iraji, Reza ; Goodarzi, Mahmud

  • Author_Institution
    Comput. Eng. Dept., Islamic Azad Univ., Touyserkan, Iran
  • fYear
    2010
  • fDate
    17-19 Nov. 2010
  • Firstpage
    531
  • Lastpage
    534
  • Abstract
    Abbreviation of Operational amplifiers is OPAMP. They are available in the form of collected circuit. These amplifiers have a high consistency and if you connect appropriate composition of external elements such as resistance, capacitor, diode to them, you can carry out all the kinds of linear and nonlinear operations. In this article, we try to model OPAMP in a novel method and present it practically. In this way, during the usage there is no need to precise information of the structure. That is, the internal circuit, which is relatively voluminous or bulky, in the device is modeled with a block box. At the end, the used method is compared with the current method in modeling the parts and its advantages are stated.
  • Keywords
    neural nets; operational amplifiers; DC characteristics; OPAMP; neural networks; operational amplifiers; OPAMP; black box; neural network; state variable;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modeling and Simulation (EMS), 2010 Fourth UKSim European Symposium on
  • Conference_Location
    Pisa
  • Print_ISBN
    978-1-4244-9313-5
  • Electronic_ISBN
    978-0-7695-4308-6
  • Type

    conf

  • DOI
    10.1109/EMS.2010.94
  • Filename
    5703740