机译: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
Department of Civil Engineering, College of Civil Engineering, Islamic Azad University, Roudehen Branch, Tehran, Iran;
Clay sensitivity; Landslide; Artificial neural network model; Piezocone penetration test;