Paper
31 August 1993 Neural network applied in the geophysical inversion problem
Roman W. Swiniarski, Hugo Hidalgo, Enrique Gomez-Trevino
Author Affiliations +
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Neural networks

Electroluminescence

Electromagnetism

Radio propagation

Evolutionary algorithms

Magnetism

Process modeling

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