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Bayesian Machine Learning in Geotechnical Site Characterization
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Bayesian Machine Learning in Geotechnical Site Characterization

Buch (gebunden)ca. 266.00 CHF
lieferbar in ca. 10-20 Arbeitstagen

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.

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

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