Title :
Microwave Devices and Antennas Modelling by Support Vector Regression Machines
Author :
Angiulli, G. ; Cacciola, M. ; Versaci, M.
Author_Institution :
DIMET, Calabria
fDate :
4/1/2007 12:00:00 AM
Abstract :
Development of fast and accurate models of microwave devices and antennas is of paramount importance in computer-aided design and circuit analysis. At this purpose, artificial neural networks (ANNs) have been extensively exploited in technical literature. However, in the last years support vector machines (SVMs) developed by Vapnik are gaining popularity due to many attractive features capable to overcome the limitations connected to ANNs. In this work, support vector regression machines (SVRMs) modelling performances are investigated and compared with ANNs performances by means of several cases of study
Keywords :
CAD; electrical engineering computing; microwave antennas; neural nets; regression analysis; support vector machines; antenna modelling; artificial neural networks; circuit analysis; computer-aided design; microwave devices; support vector regression machines; Artificial neural networks; Biomedical signal processing; Circuit analysis computing; Design automation; Microstrip antennas; Microwave antennas; Microwave devices; Patch antennas; Risk management; Support vector machines; Computer-aided design (CAD) modelling; microstrip patch antennas; microstrip radial stubs; support vector regression machines (SVRMs);
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2007.892480
