Estimation of effective cohesion using artificial neural networks based on index soil properties: a Singapore case

• Main Authors: Kim, Yongmin, Satyanaga, Alfrendo, Rahardjo, Harianto, Park, Homin, Sham, Aaron Wai Lun
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Civil engineering::Geotechnical; Residual Soil; Effective Cohesion; Index Properties; Artificial Neural Networks
• Online Access: https://hdl.handle.net/10356/159466
• Institution: Nanyang Technological University

This study presents a development of a multi-layer perceptron (MLP) model to spatially estimate and analyze the variability of effective cohesion for residual soils that are commonly associated with rainfall-induced slope failures in Singapore. A number of soil data were collected from the various c...