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Anotace knihy

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. This book covers a broad category of research that machine-learning techniques that can be applied, from microscopic modelling to constitutive modelling, to physics-based numerical modelling, to regional susceptibility mapping. This will be a good reference for researchers, academicians, graduate and undergraduate students, professionals, and practitioners in the field of geotechnical engineering and applied geology. Introduces machine-learning techniques in the risk management of geo-hazards, particularly the recent developmentsCovers a broader category of research that machine-learning techniques that can be applied, from microscopic modelling to constitutive modelling, to physics-based numerical modelling, to regional susceptibility mappingContains contributions from top researchers in this field around the world, including authors from the UK, USA, Australia, Austria, China, and India

Parametry knihy

Zařazení knihy Knihy v angličtině Earth sciences, geography, environment, planning The environment

• Plný název: Machine Learning in Geohazard Risk Prediction and Assessment
• Podnázev: From Microscale Analysis to Regional Mapping
• Autor: Biswajeet Pradhan, Daichao Sheng, Xuzhen He
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 325
• EAN: 9780443236631
• ISBN: 0443236631
• ID: 44695650
• Datum vydání: 01. September 2024

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