Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/3515
AuthorsShimelevich, M. I.* 
Obornev, M. A.* 
Gavryushov, S.* 
TitleRapid neuronet inversion of 2D magnetotelluric data for monitoring of geoelectrical section parameters
Issue DateFeb-2007
Series/Report no.1/50 (2007)
URIhttp://hdl.handle.net/2122/3515
Keywordsmagnetotelluric inverse problem
neural network
EM monitoring
Subject Classification01. Atmosphere::01.03. Magnetosphere::01.03.06. Instruments and techniques 
AbstractThe 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.
Appears in Collections:Annals of Geophysics

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