Title :
Noise effect reduction on a MEMS-based AC voltage reference source using Artificial Neural Network
Author :
Suratgar, A.A. ; Hashemipoor, S.S. ; Hoseini, H.
Author_Institution :
Elec. Eng. Dept., Arak Univ., Arak, Iran
Abstract :
This paper proposed a method in order to noise effect reduction in a AC voltage reference source. The AC voltage reference source is implemented on MEMS technology. It uses capacitive MEMS technology. The reference is based on the characteristic AC current-voltage curve MEMS component. The multilayer neural network is used. In this simulation, we have assumed the MEMS component is stable. We have investigated noise effect on electronic circuit. The simulation results are very promising.
Keywords :
artificial intelligence; electronic engineering computing; micromechanical devices; neural nets; AC current-voltage curve MEMS component; MEMS-based AC voltage reference source; artificial neural network; multilayer neural network; noise effect reduction; Artificial neural networks; Capacitors; Electrodes; Electrostatics; Micromechanical devices; Multi-layer neural network; Neural networks; Noise reduction; Stability; Voltage; AC voltage reference source; neural network; noise effect reduction;
Conference_Titel :
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4519-6
Electronic_ISBN :
978-1-4244-4520-2
DOI :
10.1109/ICCSIT.2009.5234415
