Bayesian Machine Learning in Geotechnical Site Characterization
$310.40
- Hardcover
176 pages
- Release Date
7 August 2024
Summary
Unearthing Insights: Bayesian Machine Learning for Geotechnical Site Characterization
Bayesian data analysis and modeling, combined with machine learning, provides a powerful new approach for managing geotechnical data. This book showcases the author’s latest progress in probabilistic geotechnical site characterization.
Two types of correlation are crucial in geotechnical site characterization: cross-correlation among soil properties and spatial-correlation in the subsurface…
Book Details
| ISBN-13: | 9781032314419 |
|---|---|
| ISBN-10: | 1032314419 |
| Series: | Challenges in Geotechnical and Rock Engineering |
| Author: | Jianye Ching |
| Publisher: | Taylor & Francis Ltd |
| Imprint: | CRC Press |
| Format: | Hardcover |
| Number of Pages: | 176 |
| Release Date: | 7 August 2024 |
| Weight: | 412g |
| Dimensions: | 234mm x 156mm |
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About The Author
Jianye Ching
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.
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