1st Edition
Bayesian Machine Learning in Geotechnical Site Characterization
By Jianye Ching
Copyright 2025
188 Pages
78 B/W Illustrations
by
CRC Press
188 Pages
78 B/W Illustrations
by
CRC Press
188 Pages
78 B/W Illustrations
by
CRC Press
Also available as eBook on:
Bayesian data analysis and modelling linked with machine learning offers a new tool for handling geotechnical data. This book presents recent advancements made by the author in the area of probabilistic geotechnical site characterization.
Two types of correlation play central roles in geotechnical site characterization: cross-correlation among soil properties and spatial-correlation in the... Read more
1. Bayesian Approach.
2. Review of Probability and Models.
3. Bayesian Parameter Estimation and Prediction.
4. Geotechnical Data and Bayesian Modeling.
5. Full-scale Real Case Study.
Biography
Jianye Ching is Distinguished Professor at National Taiwan University and Convener of the Civil & Hydraulic Engineering Program of the Ministry of Science and Technology of Taiwan. He is Chair of ISSMGE‘s TC304 (risk), Chair of Geotechnical Safety Network (GEOSNet), and Managing Editor of the journal Georisk.
