Novel Ensemble Landslide Predictive Models Based on the Hyperpipes Algorithm: A Case Study in the Nam Dam Commune, Vietnam

• Published in: Applied sciences Vol. 10; no. 11; p. 3710
• Main Authors: Tran, Quoc Cuong, Minh, Duc Do, Jaafari, Abolfazl, Al-Ansari, Nadhir, Minh, Duc Dao, Van, Duc Tung, Nguyen, Duc Anh, Tran, Trung Hieu, Ho, Lanh Si, Nguyen, Duy Huu, Prakash, Indra, Le, Hiep Van, Pham, Binh Thai
• Format: Journal Article
• Language: English
• Published: MDPI AG 01.06.2020
• Subjects: AdaBoost; Algorithms; Bagging; Dagging; Dams; Decorate; ensemble modeling; Geoteknik; Landslides; Machine learning; Prediction theory; Real AdaBoost; Safety and security measures; Soil Mechanics; Vietnam; Vietnam

Development of landslide predictive models with strong prediction power has become a major focus of many researchers. This study describes the first application of the Hyperpipes (HP) algorithm for the development of the five novel ensemble models that combine the HP algorithm and the AdaBoost (AB),...