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 language | English |
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Title of host publication | 2005 IEEE Antennas and Propagation Society International Symposium |
Publisher | IEEE |
Pages | 409-412 |
Number of pages | 4 |
ISBN (Print) | 0780388836 |
DOIs | |
Publication status | Published - 12 Dec 2005 |
Event | 2005 IEEE Antennas and Propagation Society International Symposium and USNC/URSI Meeting - Washington, DC, United States Duration: 3 Jul 2005 → 8 Jul 2005 |
Conference
Conference | 2005 IEEE Antennas and Propagation Society International Symposium and USNC/URSI Meeting |
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Country/Territory | United States |
City | Washington, DC |
Period | 3/07/05 → 8/07/05 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering