Machine Learning for Data-Centric Geotechnics
暫譯: 以數據為中心的機器學習在土木工程中的應用
Phoon, Kok-Kwang, Tang, Chong, Cao, Zi-Jun
- 出版商: CRC
- 出版日期: 2026-08-25
- 售價: $8,150
- 貴賓價: 9.5 折 $7,742
- 語言: 英文
- 頁數: 472
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032886544
- ISBN-13: 9781032886541
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相關分類:
Machine Learning
尚未上市，無法訂購
商品描述
Machine learning and other digital technologies fed with large datasets offer a major set of tools for practical geotechnical design. Large language models and other generative AIs can perform cognitive tasks currently undertaken by humans -- and might even predict the next event based on some time series. This depends on a balance of data centricity, fit-for (and transform) practice, and geotechnical context, and can be achieved by the integration of information, data, techniques, tools, perspectives, concepts, theories, along with experience from both geotechnical engineering and machine learning in computer science. And yet good engineering and research outcomes are still dependent on how practice (which includes the workforce) is improved or even transformed in the longer term to better serve end-users. This collection of focused chapters from a group of specialists presents principles and broad up to date practice of machine learning, along with a number of example areas of site characterization, design and construction in geotechnics.
This book is essential for sophisticated practitioners as well as graduate students.
商品描述(中文翻譯)
機器學習及其他以大型數據集為基礎的數位技術，為實用的岩土工程設計提供了一套重要的工具。大型語言模型及其他生成式人工智慧可以執行目前由人類進行的認知任務，甚至可能根據某些時間序列預測下一個事件。這依賴於數據中心性、適合（並轉變）實踐及岩土工程背景之間的平衡，並可透過整合資訊、數據、技術、工具、觀點、概念、理論，以及來自岩土工程和計算機科學機器學習的經驗來實現。然而，良好的工程和研究成果仍然依賴於如何在長期內改善或甚至轉變實踐（包括勞動力），以更好地服務最終用戶。本書由一群專家撰寫的專題章節，介紹了機器學習的原則及最新的廣泛實踐，並提供了岩土工程中場地特徵、設計和施工的多個範例領域。
本書對於高級從業者以及研究生來說都是必不可少的。
作者簡介
Kok-Kwang Phoon is President designate of Singapore University of Technology and Design. He has edited or written several books with CRC Press, including Model Uncertainties in Foundation Design. He was awarded the ASCE Norman Medal twice in 2005 and 2020, and is the Founding Editor of Georisk.
Chong Tang is a Professor of Dalian University of Technology in China. He was awarded ASCE's Norman Medal in 2020.
Zi-Jun Cao is Professor at Southwest Jiaotong University, China. He received the GEOSNet Young Researcher Award in 2022 and ISSMGE Bright Spark Lecture Award in 2019.
作者簡介(中文翻譯)
Kok-Kwang Phoon 是新加坡科技與設計大學的指定校長。他編輯或撰寫了多本與 CRC Press 合作的書籍，包括《基礎設計中的模型不確定性》。他於 2005 年和 2020 年兩度獲得 ASCE 的諾曼獎，並且是《Georisk》的創始編輯。
Chong Tang 是中國大連理工大學的教授。他於 2020 年獲得 ASCE 的諾曼獎。
Zi-Jun Cao 是中國西南交通大學的教授。他於 2022 年獲得 GEOSNet 年輕研究者獎，並於 2019 年獲得 ISSMGE 明亮火花演講獎。
