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Proceedings Paper

Neural network applied in the geophysical inversion problem
Author(s): Roman W. Swiniarski; Hugo Hidalgo; Enrique Gomez-Trevino
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Paper Abstract

A dynamic neural network is used to obtain the resistivity information of geologic structures. Based on synthetic data several simulations are made to train and test the designed neural network. Error figures are reported to evaluate the performance of the network.

Paper Details

Date Published: 31 August 1993
PDF: 8 pages
Proc. SPIE 1941, Ground Sensing, (31 August 1993); doi: 10.1117/12.154691
Show Author Affiliations
Roman W. Swiniarski, San Diego State Univ. (United States)
Hugo Hidalgo, CICESE (Mexico) (United States)
Enrique Gomez-Trevino, CICESE (Mexico) (United States)

Published in SPIE Proceedings Vol. 1941:
Ground Sensing
Hatem N. Nasr, Editor(s)

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