Neurocomputational analysis of a multiband reconfigurable planar antenna

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

doi:10.1109/TAP.2005.858617

Neurocomputational analysis of a multiband reconfigurable planar antenna

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

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

38 Citations (Scopus)

Abstract

Procedures using neural networks are developed for characterizing multiband reconfigurable antennas. A multilayer perceptron (MLP) is used to locate the operational frequency bands of the antenna at different reconfigured conditions. Another self-organizing map (SOM) neural network accomplishes the task of locating the switches to be turned ON for a desired frequency response. The developed formulation is tested on a laboratory prototype antenna.

Original language	English
Pages (from-to)	3453-3458
Number of pages	6
Journal	IEEE Transactions on Antennas and Propagation
Volume	53
Issue number	11
DOIs	https://doi.org/10.1109/TAP.2005.858617
Publication status	Published - Nov 2005

Keywords

Multilayer perceptron (MLP)
Neural networks
Reconfigurable antenna
Self-organizing map (SOM)

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/TAP.2005.858617

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abstract = "Procedures using neural networks are developed for characterizing multiband reconfigurable antennas. A multilayer perceptron (MLP) is used to locate the operational frequency bands of the antenna at different reconfigured conditions. Another self-organizing map (SOM) neural network accomplishes the task of locating the switches to be turned ON for a desired frequency response. The developed formulation is tested on a laboratory prototype antenna.",

keywords = "Multilayer perceptron (MLP), Neural networks, Reconfigurable antenna, Self-organizing map (SOM)",

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AU - Anagnostou, Dimitrios

AU - Christodoulou, Christos G.

AU - Lyke, James C.

PY - 2005/11

Y1 - 2005/11

N2 - Procedures using neural networks are developed for characterizing multiband reconfigurable antennas. A multilayer perceptron (MLP) is used to locate the operational frequency bands of the antenna at different reconfigured conditions. Another self-organizing map (SOM) neural network accomplishes the task of locating the switches to be turned ON for a desired frequency response. The developed formulation is tested on a laboratory prototype antenna.

AB - Procedures using neural networks are developed for characterizing multiband reconfigurable antennas. A multilayer perceptron (MLP) is used to locate the operational frequency bands of the antenna at different reconfigured conditions. Another self-organizing map (SOM) neural network accomplishes the task of locating the switches to be turned ON for a desired frequency response. The developed formulation is tested on a laboratory prototype antenna.

KW - Multilayer perceptron (MLP)

KW - Neural networks

KW - Reconfigurable antenna

KW - Self-organizing map (SOM)

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ER -

Neurocomputational analysis of a multiband reconfigurable planar antenna

Abstract

Keywords

ASJC Scopus subject areas

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