Paper Info
Title
Artificial neural network based design of a three-layered microstrip circular ring antenna with specified multi-frequency operation
Abstract
This paper deals with the utilization of Artificial Neural Networks (ANN) methodology in the design of microstrip antennas having a priori defined operational features. A printed annular ring antenna, textured by slits, was designed in a multilayered dielectric substrate. The width and the position of the slits along with the values of the structural parameters and the feed position of the antenna affect directly its frequency performance. The inverse problem, namely to find out the proper combination of all these parameter values which would yield the desired frequency response, was solved via a Multiple Layer Perceptron (MLP) Neural Network.
Year
DOI
Venue
2009
10.1007/s00521-007-0153-3
Neural Computing and Applications
Keywords
DocType
Volume
multilayered dielectric substrate,Artificial Neural Networks,frequency response,microstrip antenna,inverse problem,printed annular ring antenna,artificial neural network,Multiple Layer Perceptron,feed position,specified multi-frequency operation,three-layered microstrip circular ring,Neural Network,frequency performance,microstrip antennas � artificial neural networksmultiband printed antennas � multiple layer perceptron mlp neural network
Journal
18
Issue
ISSN
Citations 
1
1433-3058
1
PageRank 
References 
Authors
0.36
0
1
Name
Order
Citations
PageRank
K. Siakavara163.87