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Multi-step ahead soil temperature forecasting at different depths based on meteorological data: Integrating resampling algorithms and machine learning models
Authors:Khabat KHOSRAVI  Ali GOLKARIAN  Rahim BARZEGAR  Mohammad T AALAMI  Salim HEDDAM  Ebrahim OMIDVAR  Saskia D KEESSTRA and Manuel L&#;PEZ-VICENTE
Institution:1 Department of Earth and Environment, Florida International University, Miami 33199(USA) 2 Department of Watershed Management Engineering, Ferdowsi University of Mashhad, Mashhad 91779-48974(Iran) 3 Department of Bioresource Engineering, McGill University, 21111 Lakeshore, Ste Anne de Bellevue, Montreal H9X 3V9(Canada) 4 Department of Geography & Environmental Studies, Wilfrid Laurier University, Waterloo N2L 3G1(Canada) 5 Faculty of Civil Engineering, University of Tabriz, 29 Bahman Blv, Tabriz 51666-16471(Iran) 6 Laboratory of Research in Biodiversity Interaction Ecosystem and Biotechnology, University 20 Août 1955, Route El Hadaik, BP 26, Skikda 21000(Algeria) 7 Department of Watershed Management Engineering, University of Kashan, Kashan 87317-53153(Iran) 8 Team Soil, Water and Land Use, Wageningen Environmental Research, Droevendaalsesteeg 3, Wageningen 6708 RC(Netherlands) 9 Departamento de Análisis Geográfico Regional y Geografía Física, Facultad de Filosofía y Letras, Campus Universitario de Cartuja, Universidad de Granada, Granada 18071(Spain) 10 Group Aquaterra, CICA, Universidade da Coruña, As Carballeiras s/n, Campus de Elviña, A Coruña 15071(Spain)
Abstract:bootstrap aggregating algorithm;data mining;disjoint aggregating algorithm;ensemble modeling;hybrid model
Keywords:bootstrap aggregating algorithm  data mining  disjoint aggregating algorithm  ensemble modeling  hybrid model
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