A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Machine learning in geomechanics : 1: Overview of machine learning, unsupervised learning, regression, classification and artificial neural networks
Machine learning has led to incredible achievements in many different fields of science and technology. These varied methods of machine learning all offer powerful new tools to scientists and engineers and open new paths in geomechanics. The two volumes of Machine Learning in Geomechanics aim to demystify machine learning. They present the main methods and provide examples of its applications in mechanics and geomechanics. Most of the chapters provide a pedagogical introduction to the most important methods of machine learning and uncover the fundamental notions underlying them. Building from the simplest to the most sophisticated methods of machine learning, the books give several hands-on examples of coding to assist readers in understanding both the methods and their potential and identifying possible pitfalls.
Machine learning in geomechanics : 1: Overview of machine learning, unsupervised learning, regression, classification and artificial neural networks
Machine learning has led to incredible achievements in many different fields of science and technology. These varied methods of machine learning all offer powerful new tools to scientists and engineers and open new paths in geomechanics. The two volumes of Machine Learning in Geomechanics aim to demystify machine learning. They present the main methods and provide examples of its applications in mechanics and geomechanics. Most of the chapters provide a pedagogical introduction to the most important methods of machine learning and uncover the fundamental notions underlying them. Building from the simplest to the most sophisticated methods of machine learning, the books give several hands-on examples of coding to assist readers in understanding both the methods and their potential and identifying possible pitfalls.
Machine learning in geomechanics : 1: Overview of machine learning, unsupervised learning, regression, classification and artificial neural networks
Stefanou, Ioannis (editor) / Darve, F. (editor)
2024
1 online resource.
Campusweiter Zugriff (Universität Hannover) - Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots.
Description based on online resource; title from digital title page (viewed on October 17, 2024)
Book
Electronic Resource
English
DDC:
624.1/5132028563
Overview of Machine Learning in Geomechanics
| Wiley | 2024
Bridge Safety State Classification Based on Unsupervised Machine Learning
| Springer Verlag | 2024
Classifying Construction Contractors Using Unsupervised-Learning Neural Networks
| British Library Online Contents | 2006
Machine Learning: A Basic Overview
| Wiley | 2017