Bayesian Machine Learning in Geotechnical Site Characterization
暫譯: 地質工程場地特徵化中的貝葉斯機器學習

Name: Bayesian Machine Learning in Geotechnical Site Characterization
Price: 6964 TWD
Availability: OnlineOnly
Author: Ching, Jianye
ISBN: 1032314419

Ching, Jianye

出版商: CRC
出版日期: 2024-08-07
售價: $7,330
貴賓價: 9.5 折 $6,964
語言: 英文
頁數: 176
裝訂: Hardcover - also called cloth, retail trade, or trade
ISBN: 1032314419
ISBN-13: 9781032314419
相關分類: Machine Learning、機率統計學 Probability-and-statistics

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商品描述

Bayesian data analysis and modelling linked with machine learning offers a new tool for handling geotechnical data. This book presents recent advancements made by the author in the area of probabilistic geotechnical site characterization.

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.

Bayesian Machine Learning in Geotechnical Site Characterization suits consulting engineers and graduate students in the area.

商品描述(中文翻譯)

貝葉斯數據分析和建模結合機器學習為處理岩土工程數據提供了一種新工具。本書介紹了作者在概率性岩土工程場地特徵化領域的最新進展。

在岩土工程場地特徵化中，有兩種類型的相關性扮演著核心角色：土壤性質之間的交叉相關性和地下空間的空間相關性。本書首先介紹了貝葉斯概率的概念「信念的程度」，顯示著著名的概率公理可以通過布爾邏輯和可行性函數的定義獲得，而不需要使用「相對頻率」的概念。接著回顧了概率理論和交叉相關性及空間相關性有用的概率模型。還介紹了貝葉斯參數估計和預測的方法，並通過岩土工程場地特徵化的例子展示了這些方法的使用。

貝葉斯機器學習在岩土工程場地特徵化中的應用適合該領域的顧問工程師和研究生。

作者簡介

Jianye Ching is Distinguished Professor at National Taiwan University and Convener of the Civil & Hydraulic Engineering Program of the Ministry of Science and Technology of Taiwan. He is Chair of ISSMGE's TC304 (risk), Chair of Geotechnical Safety Network (GEOSNet), and Managing Editor of the journal Georisk.