Spatial distribution modeling of subsurface bedrock using a developed automated intelligence deep learning procedure: A case study in Sweden
Author:
Funder
BeFo
Swedish Transport Administration
Publisher
Elsevier BV
Subject
Geotechnical Engineering and Engineering Geology
Reference76 articles.
1. Artificial intelligence models to generate visualize bed rock level: a case study in Sweden. Model;Abbaszadeh Shahri;Earth Syst. Environ.,2020
2. A hybridized intelligence model to improve the predictability level of strength index parameters of rocks;Abbaszadeh Shahri;Neural Comput. Appl.,2021
3. An optimized artificial neural network structure to predict clay sensitivity in a high landslide prone area using piezocone penetration test (CPTu) data: a case study in southwest of Sweden;Abbaszadeh Shahri;Geotech. Geol. Eng.,2016
4. Depth to bedrock using gravimetry in the Reno and Carson City, Nevada, area basins;Abbott;Geophysics,2000
5. Prediction of strength index parameters of different rock types using hybrid multi output intelligence model;Asheghi;Arabian J. Sci. Eng.,2019
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