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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/10651/53776

Title: A hybrid DE optimized wavelet kernel SVR-based technique for algal atypical proliferation forecast in La Barca reservoir: A case study
Author(s): García Nieto, Paulino José
García Gonzalo, María Esperanza
Sánchez Lasheras, Fernando
Alonso Fernández, José Ramón
Díaz Muñiz, C.
Issue date: 2020
Publisher version: http://dx.doi.org/10.1016/j.cam.2019.112417
Citation: Journal of Computational and Applied Mathematics, 366, p. 112417- (2020); doi:10.1016/j.cam.2019.112417
Format extent: p. 112417-
URI: http://hdl.handle.net/10651/53776
ISSN: 0377-0427
Sponsored: This research work was made possible due to the cooperation of the Cantabrian Basin Authority (Spanish Ministryof Agriculture, Food and Environment) who gave us access to the experimental data required for this study. Moreover,this research was funded by the Foundation for the Promotion of Applied Scientific Research and Technology in Asturias(FICYT), Spain through the GRUPIN project Reference IDI/2018/000221, co-financed with EU FEDER funds, Spain
Project id.: GRUPIN/IDI/2018/000221
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