A comparative study of performance of different back-propagation neural network methods for prediction of resonant frequency of a slot-loaded double-layer frequency-selective surface-Reference-Cited by-同舟云学术

A comparative study of performance of different back-propagation neural network methods for prediction of resonant frequency of a slot-loaded double-layer frequency-selective surface

Published:2015-06-20 Issue:12 Volume:89 Page:1283-1286
ISSN:0973-1458
Container-title:Indian Journal of Physics
language:en
Short-container-title:Indian J Phys

Author:

Panda M.,Nandi S.,Sarkar P. P.

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy

Link

http://link.springer.com/content/pdf/10.1007/s12648-015-0714-8.pdf

Reference11 articles.

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2. T Zhang, G-H Yang, W-L Li and Q Wu 9th Int. Symp. Antennas Propag. EM Theory (ISAPE) p 1124 (2010)

3. C Mias, C Tsakonas and C Oswald Final Report for the Radio Communications Agency (Nottingham, UK: The Nottingham Trent University) ( http://refmanager.ntu.ac.uk/ntu_new.asp?.=ALL&PublicationDate=2006&RefType=ALL ) (2006)

4. E A Parker et al Report Prepared by ERA Technology Limited (UK: Ofcom) ( http://stakeholders.ofcom.org.uk/binaries/research/spectrum-research/exec_summary.pdf ) (2004)

5. S Haykin Neural Networks, A Comprehensive Foundation (Englewood Cliffs: Prentice Hall) 2nd edn (1999)

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