Artificial neural network and statistical models for predicting the basic geotechnical properties of soils from electrical measurements-Reference-Cited by-同舟云学术

Artificial neural network and statistical models for predicting the basic geotechnical properties of soils from electrical measurements

Published:2013-03-01 Issue:6 Volume:11 Page:599-612
ISSN:1569-4445
Container-title:Near Surface Geophysics
language:en
Short-container-title:Near Surface Geophysics

Author:

Boadu Fred Kofi¹,Owusu-Nimo Frederick²,Achampong Francis³,Ampadu Samuel I.K.²

Affiliation:

1. Department of Civil and Environmental Engineering; Duke University; Durham North Carolina

2. Dept. of Civil Engineering; Kwame Nkrumah University of Science and Technology; Ghana

3. Department of Civil Engineering; Central University College; Ghana

Publisher

Wiley

Subject

Geophysics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.3997/1873-0604.2013011/fullpdf

Reference60 articles.

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2. The electrical resistivity log as an aid in determining some reservoir characteristics. Transactions of the American Institute of Mineral;Archie;Metallurgy and Petroleum Engineers,1942

3. Neural networks in geophysical applications;van der Baan;Geophysics,2000

4. On coincident seismic and radar imaging;Baker;69th Annual International Meeting, Society of Exploration Geophysicists, Expanded Abstracts,1999

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