Tags
Language
Tags
<<
June 2025
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 1 2 3 4 5
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    ( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
    SpicyMags.xyz
    1. Home
    2. eBooks & eLearning
    3. Bayesian Machine Learning in Geotechnical Site Characterization

    Bayesian Machine Learning in Geotechnical Site Characterization

    Posted By: hill0
    Date: 10 Jul 2024 05:07:25
    Bayesian Machine Learning in Geotechnical Site Characterization

    Bayesian Machine Learning in Geotechnical Site Characterization
    English | 2024 | ISBN: 1032314419 | 189 Pages | PDF (True) | 27 MB

    Two types of correlation play central roles in geotechnical site characterization: cross-correlation among soil properties and spatial-correlation in the underground space. The book starts with the introduction of Bayesian notion of probability “degree of belief”, showing that well-known probability axioms can be obtained by Boolean logic and the definition of plausibility function without the use of the notion “relative frequency”. It then reviews probability theories and useful probability models for cross-correlation and spatial correlation. Methods for Bayesian parameter estimation and prediction are also presented, and the use of these methods demonstrated with geotechnical site characterization examples.
    UPWARDS