Abstract
In this work, particle swarm optimization (PSO) based approach to the synthesis of a cylindrical-rectangular ring microstrip conformal antenna using support vector regression (SVR) models is presented. Resonant frequency of the antenna is obtained by PSO of trained SVR models. Radial basis function (RBF) and wavelet kernel functions are used in SVR models. Simulation examples are given and the results are compared.
Original language | English |
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Title of host publication | 2018 18th Mediterranean Microwave Symposium, MMS 2018 |
Publisher | IEEE Computer Society |
Pages | 13-16 |
Number of pages | 4 |
ISBN (Electronic) | 9781538671320 |
DOIs | |
Publication status | Published - 2 Jul 2018 |
Event | 18th Mediterranean Microwave Symposium, MMS 2018 - Istanbul, Turkey Duration: 31 Oct 2018 → 2 Nov 2018 |
Publication series
Name | Mediterranean Microwave Symposium |
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Volume | 2018-October |
ISSN (Print) | 2157-9822 |
ISSN (Electronic) | 2157-9830 |
Conference
Conference | 18th Mediterranean Microwave Symposium, MMS 2018 |
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Country/Territory | Turkey |
City | Istanbul |
Period | 31/10/18 → 2/11/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- conformal antennas
- particle swarm optimization
- rectangular ring microstrip antenna
- support vector regression
- wavelet kernel