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

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

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...

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Bibliographic Details
Main Authors: Kim, Yongmin, Satyanaga, Alfrendo, Rahardjo, Harianto, Park, Homin, Sham, Aaron Wai Lun
Other Authors: School of Civil and Environmental Engineering
Format: Journal 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

Internet

https://hdl.handle.net/10356/159466

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