Title : ( A New Regressor for Bandwidth Calculation of a Rectangular Microstrip Antenna )
Authors: Hadi Sadoghi Yazdi , M. Sadoghi Yazdi , Abedin Vahedian Mazloum ,
Full TextAbstract
Microstrip antennas (MSAs) offer a number of unique advantages over other types of antennas. In MSA design, it is important to determine the bandwidth of the antenna accurately because it is a critical parameter of a MSA. To calculate the bandwidth of the rectangular microstrip antennas with thin and thick substrates, we present a new method based on the support vector regression (SVR) and Fuzzy C-Mean (FCM). The support vector regression (SVR) is a statistical learning method that generates input-output mapping functions from a set of training data. The bandwidth results obtained using SVR and new proposed SVR are in excellent compliance with the experimental results available in the literature.
Keywords
Microstrip antennas; support vector regression; FCM.
@article{paperid:1013564,
author = {Sadoghi Yazdi, Hadi and M. Sadoghi Yazdi and Vahedian Mazloum, Abedin},
title = {A New Regressor for Bandwidth Calculation of a Rectangular Microstrip Antenna},
journal = {International Journal of Microwave and Optical Technology},
year = {2009},
volume = {4},
number = {6},
month = {November},
issn = {1553-0396},
pages = {328--336},
numpages = {8},
keywords = {Microstrip antennas; support vector
regression; FCM.},
}
%0 Journal Article
%T A New Regressor for Bandwidth Calculation of a Rectangular Microstrip Antenna
%A Sadoghi Yazdi, Hadi
%A M. Sadoghi Yazdi
%A Vahedian Mazloum, Abedin
%J International Journal of Microwave and Optical Technology
%@ 1553-0396
%D 2009
