[PDF] Machine Learning in Geohazard Risk

Machine Learning in Geohazard Risk Prediction and Assessment: From Microscale Analysis to Regional Mapping by Biswajeet Pradhan PhD, Daichao Sheng, Xuzhen He

• Machine Learning in Geohazard Risk Prediction and Assessment: From Microscale Analysis to Regional Mapping
• Biswajeet Pradhan PhD, Daichao Sheng, Xuzhen He
• Page: 434
• Format: pdf, ePub, mobi, fb2
• ISBN: 9780443236631
• Publisher: Elsevier Science

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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.

Machine Learning In Geohazard Risk Prediction And Assessment
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The book covers a broad category of research on machine-learning techniques that can be applied, from microscopic modeling to constitutive modeling, to physics- .
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