Novel Ensemble Approaches of Machine Learning Techniques in Modeling the Gully Erosion Susceptibility

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Bibliografski detalji
Izdano u:	Remote Sensing vol. 12, no. 11 (2020), p. 1890
Glavni autor:	Arabameri, Alireza
Daljnji autori:	Omid Asadi Nalivan, Saha, Sunil, Roy, Jagabandhu, Pradhan, Biswajeet, Tiefenbacher, John P, Phuong Thao Thi Ngo
Izdano:	MDPI AG
Teme:	Iran Measurement methods Soil erosion Floods Modelling Artificial neural networks Agricultural management Natural resources Soil water Learning theory Water conservation Machine learning Maximum entropy Soil improvement Entropy Learning algorithms Model accuracy Soils Support vector machines Soil conservation Collinearity Gullies Neural networks Gully erosion
Online pristup:	Citation/Abstract Full Text + Graphics Full Text - PDF
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