Title :
Permittivity determination by using an artificial neural network
Author :
Bartley, Philip G., Jr. ; McClendon, Ronald W. ; Nelson, Stuart O.
Author_Institution :
Dept. of Biol. & Agric. Eng., Georgia Univ., Athens, GA, USA
Abstract :
An Artificial Neural Network (ANN) was trained to determine the dielectric properties of materials from reflection coefficient measurements of an open-ended coaxial probe. The ANN was trained by using measurements made on eleven water/isopropyl alcohol solutions. Coefficient of determination values of 0.999 were obtained. This approach has the potential of greatly simplifying the characterization of new dielectric probe designs
Keywords :
microwave reflectometry; neural nets; permittivity measurement; probes; artificial neural network; dielectric properties; open-ended coaxial probe; permittivity measurement; reflection coefficient; water/isopropyl alcohol solution; Artificial neural networks; Computer errors; Dielectric materials; Dielectric measurements; Electromagnetic fields; Electromagnetic measurements; Electromagnetic reflection; Frequency; Permittivity; Probes;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1999. IMTC/99. Proceedings of the 16th IEEE
Conference_Location :
Venice
Print_ISBN :
0-7803-5276-9
DOI :
10.1109/IMTC.1999.776714
