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Bayesian Machine Learning in Geotechnical Site Characterization
Bayesian Machine Learning in Geotechnical Site Characterization
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- More about Bayesian Machine Learning in Geotechnical Site Characterization
Format: Hardback
Length: 176 pages
Publication date: 07 August 2024
Publisher: Taylor & Francis Ltd
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.
Weight: 412g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032314419
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