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Bayesian Machine Learning In Geotechnical Site Characterization

by Jianye (National Taiwan University, Taipei) Ching
language: english
Publisher: TAYLOR & FRANCIS LTD, December of 2025 ‧
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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.

Bayesian Machine Learning In Geotechnical Site Characterization

by Jianye (National Taiwan University, Taipei) Ching

Property Description
ISBN: 9781032314433
Publisher: TAYLOR & FRANCIS LTD
Release Date: December of 2025
Language: English
Dimensions: 156 x 234 x 20 mm
Cover: Softcover
Pages: 176
Format: Book
Collection: Challenges In Geotechnical And Rock Engineering
Categories: Books in English > Science > Mathematics
EAN: 9781032314433