Bayesian Machine Learning in Geotechnical Site Characterization - Challenges in Geotechnical and Rock Engineering - Ching, Jianye (National Taiwan University, Taipei) - Books - Taylor & Francis Ltd - 9781032314419 - August 7, 2024
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Bayesian Machine Learning in Geotechnical Site Characterization - Challenges in Geotechnical and Rock Engineering

Ching, Jianye (National Taiwan University, Taipei)

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Bayesian Machine Learning in Geotechnical Site Characterization - Challenges in Geotechnical and Rock Engineering

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.

184 pages, 14 Tables, black and white; 78 Line drawings, black and white; 78 Illustrations, black an

Media Books     Hardcover Book   (Book with hard spine and cover)
Released August 7, 2024
ISBN13 9781032314419
Publishers Taylor & Francis Ltd
Pages 176
Dimensions 412 g

See all of Ching, Jianye (National Taiwan University, Taipei) ( e.g. Hardcover Book )