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Repositorio de la Universidad de Oviedo. > Producción Bibliográfica de UniOvi: RECOPILA > Artículos >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/50973

Title: Using regression trees to predict citrus load balancing accuracy and costs
Author(s): Bóbeda, G. R. R.
Fernández-Combarro Álvarez, Elías
Mazza, S.
Giménez, L. I.
Díaz Rodríguez, Susana Irene
Issue date: 2018
Citation: International Journal of Computational Intelligence Systems, 12(1), p. 79-89 (2018); doi:10.2991/ijcis.2018.25905183
Format extent: p. 79-89
URI: http://hdl.handle.net/10651/50973
ISSN: 1875-6891
Sponsored: This work was supported by Excellence project TIN2017-87600-P from the Ministry of Economy, industry and competitiveness of Spain.
Project id.: TIN2017-87600-P
FICYT/IDI/2018/000176
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