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Using regression trees to predict citrus load balancing accuracy and costs

Author:
Bóbeda, G. R. R.; Fernández-Combarro Álvarez, ElíasUniovi authority; Mazza, S.; Giménez, L. I.; Díaz Rodríguez, Susana IreneUniovi authority
Publication date:
2018
Citación:
International Journal of Computational Intelligence Systems, 12(1), p. 79-89 (2018); doi:10.2991/ijcis.2018.25905183
Descripción física:
p. 79-89
URI:
http://hdl.handle.net/10651/50973
ISSN:
1875-6891
Patrocinado por:

This work was supported by Excellence project TIN2017-87600-P from the Ministry of Economy, industry and competitiveness of Spain.

Id. Proyecto:

TIN2017-87600-P

FICYT/IDI/2018/000176

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© 2018, the Authors. Published by Atlantis Press
This item is protected with a Creative Commons License