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Bayesian Machine Learning in Geotechnical Site Characterization - Challenges in Geotechnical and Rock Engineering Ching, Jianye (National Taiwan University, Taipei)
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Bayesian Machine Learning in Geotechnical Site Characterization - Challenges in Geotechnical and Rock Engineering
Ching, Jianye (National Taiwan University, Taipei)
This presents recent advancements in probabilistic geotechnical site characterization. It reviews probability theories and models for cross correlation and spatial correlation, and presents methods for Bayesian parameter estimation and prediction. Use of these methods is demonstrated with geotechnical site characterization examples.
184 pages, 14 Tables, black and white; 78 Line drawings, black and white; 78 Illustrations, black an
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 7 de agosto de 2024 |
| ISBN13 | 9781032314419 |
| Editores | Taylor & Francis Ltd |
| Páginas | 176 |
| Dimensiones | 150 × 220 × 20 mm · 440 g |
| Lengua | Inglés |
