An optimization on machine learning algorithms for mapping snow avalanche susceptibility

Author:

Yariyan Peyman,Omidvar Ebrahim,Minaei Foad,Ali Abbaspour Rahim,Tiefenbacher John P.

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology

Reference93 articles.

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2. Achour Y, Pourghasemi HR (2020) How do machine learning techniques help in increasing accuracy of landslide susceptibility maps? Geosci Front 11:871–883

3. Alizamir M, Azhdary Moghadam M, Hashemi Monfared A, Shamsipour AA (2017) Performance evaluation of artificial neural networks in statistical downscaling of monthly precipitation (Case study: Minab watershed). Environ Resour Res 5:169–182

4. Ancey C (2001) Snow avalanches, Geomorphological fluid mechanics. Springer, pp. 319–338

5. Anderson EA (1976) A point energy and mass balance model of a snow cover. Stanford University

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