Artificial Neural Network to Design of Circular Microstrip Antenna

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Artificial Neural Network to Design of Circular Microstrip Antenna

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Abstract

A simple design to compute accurate resonant frequencies of circular microstrip antennas using artificial neural networks. (ANN) is proposed. ANN model is developed to calculate the antenna dimensions for the given resonant frequency, dielectric constant and height of substrate. ANN is designed using radial basis function networks. The results show better agreement with the trained and tested data of ANN models. The results are verified by the experimental results to produce accurate ANN models. This presents ANN model practically as an alternative method to the detailed electromagnetic design of circular microstrip antenna. We have also used a simulator to validate the present model.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Sami Bedra. 2012. "Artificial Neural Network to Design of Circular Microstrip Antenna". Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 12 (GJRE Volume 12 Issue F10).

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords
Classification
GJRE-F Classification FOR Code: 031307
Version of record

v1.2

Issue date
October 2, 2012

Language
English
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Artificial Neural Network to Design of Circular Microstrip Antenna

Dr. Bedra
Dr. Bedra university of Batna