Title : ( Determining RF MEMS Switch Parameters by Neural Networks )
Authors: Khlil Mafinezhad ,
Full TextAbstract
A challenge in designing a RF MEMS switch is the determination of its parameters to satisfy the application requirements. Often this is done through a set of comprehensive time consuming simulations. This paper employs neural networks and develops a supervised learner that is capable of determining S11 parameter for a RF MEMS shunt switch. The inputs are the length its L and the height of its gap. The outputs are S11s for eight different frequency points from 0 to V band. The developed learner helps prevent repetitive simulations when designing the specified switch. Simulation results are presented.
Keywords
MEMS; RF; switch; neural networks
@inproceedings{paperid:1012233,
author = {Mafinezhad, Khlil},
title = {Determining RF MEMS Switch Parameters by Neural Networks},
booktitle = {Tencon,IEEE 2009},
year = {2009},
location = {سنگاپور},
keywords = {MEMS; RF; switch; neural networks},
}
%0 Conference Proceedings
%T Determining RF MEMS Switch Parameters by Neural Networks
%A Mafinezhad, Khlil
%J Tencon,IEEE 2009
%D 2009
