Application of novel ensemble models and k-fold CV approaches for Land subsidence susceptibility modelling

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Detalles Bibliográficos
Publicado en:	Stochastic Environmental Research and Risk Assessment vol. 36, no. 1 (Jan 2022), p. 201
Autor principal:	Arabameri Alireza
Otros Autores:	Santosh, M, Rezaie Fatemeh, Saha Sunil, Coastache Romulus, Roy Jagabandhu, Mukherjee Kaustuv, Tiefenbacher, John, moayedi Hossein
Publicado:	Springer Nature B.V.
Materias:	Accuracy Casualties Intelligence Models Susceptibility Goodness of fit Land use Subsidence Maps Decision making Groundwater Decision trees Model accuracy Land subsidence Radial basis function Neural networks Land use management Drawdown Lithology Classifiers Land use planning Environmental
Acceso en línea:	Citation/Abstract Full Text - PDF
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