Neural network applied in the geophysical inversion problem

Roman W. Swiniarski; Hugo Hidalgo; Enrique Gomez-Trevino

doi:10.1117/12.154691

31 August 1993 Neural network applied in the geophysical inversion problem

Roman W. Swiniarski, Hugo Hidalgo, Enrique Gomez-Trevino

Proceedings Volume 1941, Ground Sensing; (1993) https://doi.org/10.1117/12.154691
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

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.

Citation Download Citation

Roman W. Swiniarski, Hugo Hidalgo, and Enrique Gomez-Trevino "Neural network applied in the geophysical inversion problem", Proc. SPIE 1941, Ground Sensing, (31 August 1993); https://doi.org/10.1117/12.154691

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