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
Crossref DOI link: https://doi.org/10.1007/s10706-016-9976-y
Published Online: 2016-01-19
Published Print: 2016-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Abbaszadeh Shahri, Abbas
Text and Data Mining valid from 2016-01-19