Principal component analysis and artificial neural network approach to electrical impedance tomography problems approximated by multi-region boundary element method

DOI10.1016/J.ENGANABOUND.2006.12.003zbMath1195.78071OpenAlexW1966133577MaRDI QIDQ1958364

Stefan F. Filipowicz, Magdalena Stasiak, Konrad Nita, Jan Sýkora

Publication date: 28 September 2010

Published in: Engineering Analysis with Boundary Elements (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.enganabound.2006.12.003

zbMATH Keywords

principal component analysisboundary element methodsartificial neural networkimpedance tomography

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Boundary element methods applied to problems in optics and electromagnetic theory (78M15)

Related Items (3)

A 3D hybrid BE-FE solution to the forward problem of electrical impedance tomography ⋮ An inverse geometric problem: position and shape identification of inclusions in a conductor domain ⋮ Review on electrical impedance tomography: artificial intelligence methods and its applications

Uses Software

• ICALAB

Cites Work

• Image processing with neural networks -- a review
• Application of a hybrid genetic/Powell algorithm and a boundary element method to electrical impedance tomography
• Unnamed Item

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