Neural Network Characterization of Reflectarray Antennas
Joint Authors
Pirinoli, Paola
Freni, Angelo
Mussetta, Marco
Source
International Journal of Antennas and Propagation
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-07-18
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
An efficient artificial neural network (ANN) approach for the modeling of reflectarray elementary components is introduced to improve the numerical efficiency of the different phases of the antenna design and optimization procedure, without loss in accuracy.
The comparison between the results of the analysis of the entire reflectarray designed using the simplified ANN model or adopting a full-wave characterization of the unit cell finally proves the effectiveness of the proposed model.
American Psychological Association (APA)
Freni, Angelo& Mussetta, Marco& Pirinoli, Paola. 2012. Neural Network Characterization of Reflectarray Antennas. International Journal of Antennas and Propagation،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-479986
Modern Language Association (MLA)
Freni, Angelo…[et al.]. Neural Network Characterization of Reflectarray Antennas. International Journal of Antennas and Propagation No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-479986
American Medical Association (AMA)
Freni, Angelo& Mussetta, Marco& Pirinoli, Paola. Neural Network Characterization of Reflectarray Antennas. International Journal of Antennas and Propagation. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-479986
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-479986
