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
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;
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
DOI :
10.1109/EMS.2010.94