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Title: Multiparameter hybrid neural network metamodel of eddy current probes with volumetric structure of excitation system
Authors: Трембовецька, Руслана Володимирівна
Гальченко, Володимир Якович
Тичков, Володимир Володимирович
Keywords: eddy current probe;uniform sensitivity;volumetric excitation structure;eddy currents density;neural networks;hybrid rbf-metamodel
Issue Date: Dec-2019
Publisher: Mathematical modeling: Theoretical foundations and specificity of mathematical modelling. Mathematical modelling of technological processes and systems: proceedings of the III International scientific conference , 11–14.12.2019, Borovets, Bulgaria
Abstract: A multiparameter metamodel of the eddy current probe with the volumetric excitation structure is constructed. As variable parameters of the metamodel, the spatial coordinates of the testing zone, the radii of the excitation coils and the height of their location above the testing object were used. Due to the use of hybrid construction of multiple neural networks using decomposition of the search space, an acceptable metamodel’s error of the eddy current probe with volumetric excitation structure is obtained.
ISSN: ISSN 2535-0978 (Print)
ISSN 2603-3003 (Online)
First Page: 56
End Page: 59
Appears in Collections:Наукові публікації викладачів (ФЕТР)

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