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Bayesian Machine Learning in Geotechnical Site Characterization

Bayesian Machine Learning in Geotechnical Site Characterization

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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.

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août 2024, 176 Pages, Challenges in Geotechnical and Rock Engineering, Anglais
Taylor and Francis
978-1-03-231441-9

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