Neural networks for estimating electrical characteristics of the surface of the Earth

Author

Custódio, A. C S ; Cavalcante, G.P.S.

Author_Institution

Dept. de Engenharia Eletrica, Univ. Fed. do Para, Brazil

fYear

1996

fDate

10-13 Sep 1996

Firstpage

175

Lastpage

178

Abstract

The objective of this work is to utilize neural network resources to determine the electrical characteristics of the ground. The data processing of the input and output is done by calculating the field strength of the surface wave, using the Bremmer and Van der Pol equations, to train a neural network simulator. From the results of the measurement of electric field strength of the outskirts of Belem and rural area, using radio stations with medium wave as transmitters, the following values of the ground parameters were found: 1.4 mS/m for conductivity and 15 for relative permittivity

Keywords

electric field measurement; electrical conductivity; feedforward neural nets; geophysics computing; land mobile radio; learning (artificial intelligence); permittivity; radiowave propagation; telecommunication computing; terrestrial electricity; 1.4 mS/m; Bremmer equation; Earth surface; FIELD computer program; Van der Pol equation; conductivity; data processing; electric field strength; electrical characteristics; ground parameters; neural network simulator; neural network training; radio stations; relative permittivity; surface wave attenuation; surface wave field strength; vegetation; Area measurement; Conductivity measurement; Data processing; Electric variables; Electric variables measurement; Equations; Neural networks; Permittivity measurement; Radio transmitters; Surface waves;

fLanguage

English

Publisher

ieee

Conference_Titel

Mathematical Methods in Electromagnetic Theory, 1996., 6th International Conference on

Conference_Location

Lviv

Print_ISBN

0-7803-3291-1

Type

conf

DOI

10.1109/MMET.1996.565684

Filename

565684