RAPID NEURONET INVERSION OF 2D MAGNETOTELLURIC DATA FOR MONITORING OF GEOELECTRICAL SECTION PARAMETERS

dc.contributor.author	Shimelevich M.I.
dc.contributor.author	Obornev E.A.
dc.contributor.author	Gavryushov S.
dc.date.accessioned	2026-07-04T07:47:40Z
dc.date.issued	2007
dc.description.abstract	The inverse MagnetoTelluric (MT) operator is approximated by means of the Neural Network (NN). The methodology of the NN interpretation in classes of the geoelectrical sections described by the hundreds of parameters is proposed. Error of the NN inversion and field misfit are evaluated. A rapid NN algorithm solving the inverse problem and detecting changes of time-dependent dynamic parameters of the section is applied to 2D synthetic data.
dc.identifier	https://elibrary.ru/item.asp?id=13549193
dc.identifier.citation	Annals of Geophysics, 2007, 50, 1, 105-109
dc.identifier.issn	1593-5213
dc.identifier.uri	https://repository.geologyscience.ru/handle/123456789/53272
dc.subject	EM MONITORING
dc.subject	MAGNETOTELLURIC INVERSE PROBLEM
dc.subject	NEURAL NETWORK
dc.title	RAPID NEURONET INVERSION OF 2D MAGNETOTELLURIC DATA FOR MONITORING OF GEOELECTRICAL SECTION PARAMETERS
dc.type	Статья

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