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The inverse MagnetoTelluric (MT) operator is approximated by means of the Neural Network (NN). The&#13; methodology of the NN interpretation in classes of the geoelectrical sections described by the hundreds of parameters&#13; is proposed. Error of the NN inversion and field misfit are evaluated. A rapid NN algorithm solving the&#13; inverse problem and detecting changes of time-dependent dynamic parameters of the section is applied to 2D&#13; synthetic data

Rapid neuronet inversion of 2D magnetotelluric data for monitoring of geoelectrical section parameters