A frequency reconfigurable antenna design using neural netwoks

Amalendu Patnaik, Dimitrios Anagnostou, Christos G. Christodoulou, James C. Lyke

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

In this work, design aspects of a frequency reconfigurable antenna are handled using neural networks. The job of the neural network is to determine the switches that are to be made ON for the structure to resonate at specific bands. This task is handled as a classification type of problem and is accomplished by a self-organizing map neural network (SOM NN).

Original languageEnglish
Title of host publication2005 IEEE Antennas and Propagation Society International Symposium
PublisherIEEE
Pages409-412
Number of pages4
ISBN (Print)0780388836
DOIs
Publication statusPublished - 12 Dec 2005
Event2005 IEEE Antennas and Propagation Society International Symposium and USNC/URSI Meeting - Washington, DC, United States
Duration: 3 Jul 20058 Jul 2005

Conference

Conference2005 IEEE Antennas and Propagation Society International Symposium and USNC/URSI Meeting
CountryUnited States
CityWashington, DC
Period3/07/058/07/05

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Patnaik, A., Anagnostou, D., Christodoulou, C. G., & Lyke, J. C. (2005). A frequency reconfigurable antenna design using neural netwoks. In 2005 IEEE Antennas and Propagation Society International Symposium (pp. 409-412). IEEE. https://doi.org/10.1109/APS.2005.1551830