Mapping of soil erosion susceptibility using advanced machine learning models at Nghe An, Vietnam

Mapping of soil erosion susceptibility using advanced machine learning models at Nghe An, Vietnam

Soil Erosion Susceptibility Mapping (SESM) is one of the practical approaches for managing and mitigating soil erosion. This study applied four Machine Learning (ML) models, namely the Multilayer Perceptron (MLP) classifier, AdaBoost, Ridge classifier, and Gradient Boosting classifier to perform SES...

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Bibliographic Details
Main Authors: Chien Quyet Nguyen, Tuyen Thi Tran, Trang Thanh Thi Nguyen, Thuy Ha Thi Nguyen, T. S. Astarkhanova, Luong Van Vu, Khac Tai Dau, Hieu Ngoc Nguyen, Giang Hương Pham, Duc Dam Nguyen, Indra Prakash, Binh Pham
Format: Article
Language:English
Published: IWA Publishing 2024-01-01
Series:Journal of Hydroinformatics
Subjects:
gradient boosting classifier
machine learning
grid search
soil erosion
vietnam
Online Access:http://jhydro.iwaponline.com/content/26/1/72

Internet

http://jhydro.iwaponline.com/content/26/1/72

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