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

Files in This Item:
File Description SizeFormat 
10Shimelevich.pdf1.18 MBAdobe PDFView/Open
Show full item record

Page view(s)

144
Last Week
0
Last month
0
checked on Aug 17, 2018

Download(s)

262
checked on Aug 17, 2018

Google ScholarTM

Check