Neural networks for FDTD‐backed permittivity reconstruction

DOI10.1108/03321640510571318zbMath1077.94033OpenAlexW1969824804MaRDI QIDQ4672416

Ethan K. Murphy, E. Eugene Eves, Vadim V. Yakovlev

Publication date: 29 April 2005

Published in: COMPEL - The international journal for computation and mathematics in electrical and electronic engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1108/03321640510571318

zbMATH Keywords

neural netnumerical analysisdielectric

Mathematics Subject Classification ID

Technical applications of optics and electromagnetic theory (78A55) Analytic circuit theory (94C05) Software, source code, etc. for problems pertaining to optics and electromagnetic theory (78-04)

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Solution to the Inverse Problem of Reconstructing Permittivity of an $$n$$-Sectional Diaphragm in a Rectangular Waveguide

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