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.
Get Bayesian Machine Learning in Geotechnical Site Characterization by Jianye Ching at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Taylor & Francis Ltd and it has 176 pages.
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