Artificial Neural Network in the Design of Rectangular Microstrip Antenna
A. Bouhous. Advanced Computational Intelligence: An International Journal (ACII), 2 (2):
6(April 2015)
Abstract
A simple design to compute accurate resonant frequencies and the electric fields of rectangular microstrip
antennas using artificial neural networks (ANN) is proposed. The ANN is developed to calculate the
frequency and antenna's field. ANN is designed using multilayer perceptron networks (MLP). The results
that were obtained accord the trained and tested data of ANN models. As a result, the ANN model is
presented as a substitutional method to the detailed electromagnetic design of rectangular microstrip
antenna
%0 Journal Article
%1 noauthororeditor
%A Bouhous, Adil
%D 2015
%J Advanced Computational Intelligence: An International Journal (ACII)
%K Antennas Electric Fields Frequencies Microstrip Multilayer Network Perceptron Rectangular Resonant
%N 2
%P 6
%T Artificial Neural Network in the Design of Rectangular Microstrip Antenna
%U http://airccse.org/journal/acii/papers/2215acii04.pdf
%V 2
%X A simple design to compute accurate resonant frequencies and the electric fields of rectangular microstrip
antennas using artificial neural networks (ANN) is proposed. The ANN is developed to calculate the
frequency and antenna's field. ANN is designed using multilayer perceptron networks (MLP). The results
that were obtained accord the trained and tested data of ANN models. As a result, the ANN model is
presented as a substitutional method to the detailed electromagnetic design of rectangular microstrip
antenna
@article{noauthororeditor,
abstract = {A simple design to compute accurate resonant frequencies and the electric fields of rectangular microstrip
antennas using artificial neural networks (ANN) is proposed. The ANN is developed to calculate the
frequency and antenna's field. ANN is designed using multilayer perceptron networks (MLP). The results
that were obtained accord the trained and tested data of ANN models. As a result, the ANN model is
presented as a substitutional method to the detailed electromagnetic design of rectangular microstrip
antenna},
added-at = {2017-12-20T04:26:35.000+0100},
author = {Bouhous, Adil},
biburl = {https://www.bibsonomy.org/bibtex/26cdf87e7f47fdc06e991302a7acf72af/janakirob},
interhash = {4da5cc5af718ff817b12a45ffb3b407a},
intrahash = {6cdf87e7f47fdc06e991302a7acf72af},
issn = {2454 - 3934},
journal = {Advanced Computational Intelligence: An International Journal (ACII)},
keywords = {Antennas Electric Fields Frequencies Microstrip Multilayer Network Perceptron Rectangular Resonant},
language = {English},
month = {April},
number = 2,
pages = 6,
timestamp = {2017-12-20T04:26:35.000+0100},
title = {Artificial Neural Network in the Design of Rectangular Microstrip Antenna },
url = {http://airccse.org/journal/acii/papers/2215acii04.pdf},
volume = 2,
year = 2015
}