DocumentCode :
964886
Title :
Generation and use of optimised databases in microwave characterisation
Author :
Acikgoz, H. ; Santandrea, L. ; Le Bihan, Yann ; Gyimothy, Szabolcs ; Pavo, Jozsef ; Meyer, O. ; Pichon, Lionel
Author_Institution :
Lab. de Genie Electr. de Paris (LGEP), Univ .Pierre et Marie Curie-P6, Gif-sur-Yvette
Volume :
2
Issue :
6
fYear :
2008
fDate :
11/1/2008 12:00:00 AM
Firstpage :
467
Lastpage :
473
Abstract :
A method for optimising the sampling points in a database used to characterise a coaxial probe for dielectric measurement is described. The optimised databases are related to the forward operator that maps the model parameters (the material dielectric properties) to the observation (measured data). The optimised sampling method is shown by simulation to improve the accuracy of dielectric measurements, in the presence of measurement noise, when a neural network is trained using the database compared with a regularly sampled database.
Keywords :
coaxial waveguides; dielectric measurement; electrical engineering computing; engineering information systems; learning (artificial intelligence); neural nets; coaxial probe characterisation; dielectric measurement; material dielectric properties; microwave characterisation; neural networks; optimised databases; sampling points;
fLanguage :
English
Journal_Title :
Science, Measurement & Technology, IET
Publisher :
iet
ISSN :
1751-8822
Type :
jour
DOI :
10.1049/iet-smt:20080086
Filename :
4659187
Link To Document :
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