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Bayesian Machine Learning in Geotechnical Site Characterization

Bayesian Machine Learning in Geotechnical Site Characterization

Inhalt

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.

Bibliografische Angaben

August 2024, 176 Seiten, Challenges in Geotechnical and Rock Engineering, Englisch
Taylor and Francis
978-1-03-231441-9

Inhaltsverzeichnis

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Weitere Titel der Reihe: Challenges in Geotechnical and Rock Engineering

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