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

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Pubblicato in:	Remote Sensing vol. 12, no. 11 (2020), p. 1890
Autore principale:	Arabameri, Alireza
Altri autori:	Omid Asadi Nalivan, Saha, Sunil, Roy, Jagabandhu, Pradhan, Biswajeet, Tiefenbacher, John P, Phuong Thao Thi Ngo
Pubblicazione:	MDPI AG
Soggetti:	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
Accesso online:	Citation/Abstract Full Text + Graphics Full Text - PDF
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