Machine Learning in Geomechanics 1: Overview of Machine Learning, Unervised Learning, Regression, Classification and Artificial Neural Networks - Rilegato

Stefanou, Ioannis

Rilegato

ISBN 10: 1789451922 ISBN 13: 9781789451924

Casa editrice: John Wiley & Sons, 2025

Riassunto

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.

Dettagli dell'edizione

• Editore: John Wiley & Sons
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 1789451922
• ISBN 13: 9781789451924
• Rilegatura: Copertina rigida
• Numero di pagine: 258
• Contatto del produttore: WROX; https://www.wiley.com/en-us; ; 111 River Street; Hoboken; NJ; 7030; U.S.A.
• Persona responsabile: GPSR Kontakt; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Germania