A visualized hybrid intelligent model to delineate Swedish fine-grained soil layers using clay sensitivity-Reference-Cited by-同舟云学术

A visualized hybrid intelligent model to delineate Swedish fine-grained soil layers using clay sensitivity

Published:2022-07 Issue: Volume:214 Page:106289
ISSN:0341-8162
Container-title:CATENA
language:en
Short-container-title:CATENA

Author:

Ghaderi Abdolvahed,Abbaszadeh Shahri Abbas,Larsson Stefan

Publisher

Elsevier BV

Subject

Earth-Surface Processes

Reference101 articles.

1. 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

2. Artificial intelligence models to generate visualized bedrock level: a case study in Sweden;Abbaszadeh Shahri;Model. Earth Syst. Environ.,2020

3. A hybridized intelligence model to improve the predictability level of strength index parameters of rocks;Abbaszadeh Shahri;Neural Comput. Appl.,2020

4. Landslide susceptibility hazard map in southwest Sweden using artificial neural network;Abbaszadeh Shahri;CATENA,2019

5. Soil classification analysis based on piezocone penetration test data - a case study from a quick-clay landslide site in southwestern Sweden;Abbaszadeh Shahri;Eng. Geol.,2015

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