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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/10651/36853

Title: A new predictive model for the cyanotoxin content from experimental cyanobacteria concentrations in a reservoir based on the ABC optimized support vector machine approach: A case study in Northern Spain
Author(s): García Nieto, Paulino José
Alonso Fernández, José Ramón
García Gonzalo, María Esperanza
Díaz Muñiz, C.
Mayo Bayón, Ricardo
González Suárez, Víctor Manuel
Issue date: 2015
Publisher version: http://dx.doi.org/10.1016/j.ecoinf.2015.09.010
Citation: Ecological Informatics, 30, p. 49-59 (2015); doi:10.1016/j.ecoinf.2015.09.010
Format extent: p. 49-59
URI: http://hdl.handle.net/10651/36853
ISSN: 1574-9541
Appears in Collections:Artículos

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