Machine Learning in Geohazard Risk Prediction and Assessment: From Microscale Analysis to Regional Mapping presents an overview of the most recent developments in machine learning techniques that have reshaped our understanding of geo-materials and management protocols of geo-risk. The book covers a broad category of research on machine-learning techniques that can be applied, from microscopic modeling to constitutive modeling, to physics-based numerical modeling, to regional susceptibility mapping. This is a good reference for researchers, academicians, graduate and undergraduate students, professionals, and practitioners in the field of geotechnical engineering and applied geology.
Produkteigenschaften
- Artikelnummer: 9780443236631
- Medium: Buch
- ISBN: 978-0-443-23663-1
- Verlag: Elsevier Science
- Erscheinungstermin: 01.07.2025
- Sprache(n): Englisch
- Auflage: Erscheinungsjahr 2025
- Produktform: Kartoniert
- Seiten: 376
- Format (B x H): 191 x 235 mm
- Ausgabetyp: Kein, Unbekannt