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A neural‐network approach to the electromagnetic imaging of elliptic conducting cylinders
Author(s) -
Mydur Ravicharan,
Michalski Krzysztof Arkadiusz
Publication year - 2001
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/1098-2760(20010305)28:5<303::aid-mop1024>3.0.co;2-c
Subject(s) - artificial neural network , microwave , microwave imaging , section (typography) , engineering , computer science , physics , artificial intelligence , telecommunications , operating system
A neural‐network approach is presented for the electromagnetic imaging of conducting cylinders of elliptical cross section. Simulation results are presented which demonstrate that a properly trained neural network is capable of accurately identifying the shape and location of unknown elliptic cylinders in inaccessible domains. © 2001 John Wiley & Sons, Inc. Microwave Opt Technol Lett 28: 303–306, 2001.