Analysis of RF MEMS Capacitive Switches by Using Switch EM ANN Models

Artificial neural networks (ANNs) have appeared to be an alternative to the conventional models of RF MEMS switches. In this paper, neural models of an RF MEMS capacitive switch are developed and used for the electrical design of the switch. Namely, an ANN model relating the switch resonant frequenc...

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Main Authors:	Z. Marinković, A. Aleksić, O. Pronić-Rančić, L. Vietzorreck
Format:	Article
Language:	English
Published:	Telecommunications Society, Academic Mind 2015-11-01
Series:	Telfor Journal
Subjects:	Artificial neural networks resonant frequency RF MEMS switch design
Online Access:	http://journal.telfor.rs/Published/Vol7No2/Vol7No2_A4.pdf

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spelling	doaj-54a8a830839848c8bb1bbe680d01cb732020-11-25T01:30:37ZengTelecommunications Society, Academic MindTelfor Journal1821-32512015-11-01728085Analysis of RF MEMS Capacitive Switches by Using Switch EM ANN ModelsZ. MarinkovićA. AleksićO. Pronić-RančićL. VietzorreckArtificial neural networks (ANNs) have appeared to be an alternative to the conventional models of RF MEMS switches. In this paper, neural models of an RF MEMS capacitive switch are developed and used for the electrical design of the switch. Namely, an ANN model relating the switch resonant frequency and the bridge dimensions is used to analyze efficiently the switch behavior with changes of bridge dimensions. Furthermore, it is illustrated how the developed model can be used for the determination of bridge dimensions in order to achieve the desired switch resonant frequency. In addition, application of a switch inverse ANN model for the determination of bridge dimensions is analyzed as well. http://journal.telfor.rs/Published/Vol7No2/Vol7No2_A4.pdf Artificial neural networksresonant frequencyRF MEMS switchdesign
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Z. Marinković A. Aleksić O. Pronić-Rančić L. Vietzorreck
spellingShingle	Z. Marinković A. Aleksić O. Pronić-Rančić L. Vietzorreck Analysis of RF MEMS Capacitive Switches by Using Switch EM ANN Models Telfor Journal Artificial neural networks resonant frequency RF MEMS switch design
author_facet	Z. Marinković A. Aleksić O. Pronić-Rančić L. Vietzorreck
author_sort	Z. Marinković
title	Analysis of RF MEMS Capacitive Switches by Using Switch EM ANN Models
title_short	Analysis of RF MEMS Capacitive Switches by Using Switch EM ANN Models
title_full	Analysis of RF MEMS Capacitive Switches by Using Switch EM ANN Models
title_fullStr	Analysis of RF MEMS Capacitive Switches by Using Switch EM ANN Models
title_full_unstemmed	Analysis of RF MEMS Capacitive Switches by Using Switch EM ANN Models
title_sort	analysis of rf mems capacitive switches by using switch em ann models
publisher	Telecommunications Society, Academic Mind
series	Telfor Journal
issn	1821-3251
publishDate	2015-11-01
description	Artificial neural networks (ANNs) have appeared to be an alternative to the conventional models of RF MEMS switches. In this paper, neural models of an RF MEMS capacitive switch are developed and used for the electrical design of the switch. Namely, an ANN model relating the switch resonant frequency and the bridge dimensions is used to analyze efficiently the switch behavior with changes of bridge dimensions. Furthermore, it is illustrated how the developed model can be used for the determination of bridge dimensions in order to achieve the desired switch resonant frequency. In addition, application of a switch inverse ANN model for the determination of bridge dimensions is analyzed as well.
topic	Artificial neural networks resonant frequency RF MEMS switch design
url	http://journal.telfor.rs/Published/Vol7No2/Vol7No2_A4.pdf
work_keys_str_mv	AT zmarinkovic analysisofrfmemscapacitiveswitchesbyusingswitchemannmodels AT aaleksic analysisofrfmemscapacitiveswitchesbyusingswitchemannmodels AT opronicrancic analysisofrfmemscapacitiveswitchesbyusingswitchemannmodels AT lvietzorreck analysisofrfmemscapacitiveswitchesbyusingswitchemannmodels
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Analysis of RF MEMS Capacitive Switches by Using Switch EM ANN Models

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