A Neural Network Solution for Identification and Classification of Cylindrical Targets above Perfectly Conducting Flat Surfaces-Reference-Cited by-同舟云学术

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A Neural Network Solution for Identification and Classification of Cylindrical Targets above Perfectly Conducting Flat Surfaces

Published:2007-01-01 Issue:14 Volume:21 Page:2147-2156
ISSN:0920-5071
Container-title:Journal of Electromagnetic Waves and Applications
language:en
Short-container-title:Journal of Electromagnetic Waves and Applications

Author:

Kizilay A.¹,Makal S.²

Affiliation:

1. a Yildiz Technical University, Electrical-Electronics Faculty, Electronics and Communications Engineering Department, Istanbul, Turkey

2. b Yildiz Technical University, Electrical-Electronics Faculty, Electronics and Communications Engineering Department, Istanbul, Turkey

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,General Physics and Astronomy,Electronic, Optical and Magnetic Materials

Link

https://www.tandfonline.com/doi/pdf/10.1163/156939307783152759

Reference27 articles.

1. WIDE-ANGLE RADAR TARGET RECOGNITION WITH SUBCLASS CONCEPT

2. Cooperative Targets Detection and Tracking Range Maximization Using Multimode LADAR/RADAR and Transponders

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1. An artificial neural network application for buried target classification;Journal of Electromagnetic Waves and Applications;2013-09-20

2. A neural-based electromagnetic inverse scattering approach to the detection of a conducting cylinder coated with a dielectric material;Turkish Journal of Electrical Engineering and Computer Sciences;2012-01-01

3. Electromagnetic Scattering from Rough Sea Surface with PM Spectrum Covered by an Organic Film;Chinese Physics Letters;2011-03

4. STUDY ON EM SCATTERING FROM 2-D TARGET ABOVE 1-D LARGE SCALE ROUGH SURFACE WITH LOW GRAZING INCIDENCE BY PARALLEL MOM BASED ON PC CLUSTERS;Progress In Electromagnetics Research;2009

5. GAUSSIAN PROCESS MODELING OF CPW-FED SLOT ANTENNAS;Progress In Electromagnetics Research;2009

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