Artificial neural networks have been employed as a fast tool for microwave device modelling. Support vector machines developed by Vapnik are gaining popularity due to many attractive features capable to overcome the limitations connected to ANNs. In this work, we discuss the use of support vector regression machines for microwave devices and antenna modelling
Microwave Devices and Antennas Modelling by Support Vector Regression Machines / Angiulli, Giovanni; Cacciola, M; Versaci, M. - (2006), pp. 302-302. (Intervento presentato al convegno Twelfth Biennial IEEE Conference on Electromagnetic Field Computation tenutosi a Miami - Florida -USA nel April 30-May 3, 2006) [10.1109/CEFC-06.2006.1633092].
Microwave Devices and Antennas Modelling by Support Vector Regression Machines
ANGIULLI, Giovanni;Versaci M
2006-01-01
Abstract
Artificial neural networks have been employed as a fast tool for microwave device modelling. Support vector machines developed by Vapnik are gaining popularity due to many attractive features capable to overcome the limitations connected to ANNs. In this work, we discuss the use of support vector regression machines for microwave devices and antenna modellingI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
