English español

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/10651/34084

Title: A hybrid PSO optimized SVM-based model for predicting a successful growth cycle of the Spirulina platensis from raceway experiments data
Author(s): García Nieto, Paulino José
García Gonzalo, María Esperanza
Alonso Fernández, José Ramón
Díaz Muñiz, C.
Issue date: 2016
Publisher version: http://dx.doi.org/10.1016/j.cam.2015.01.009
Citation: Journal of Computational and Applied Mathematics, 291, p. 293-303 (2016); doi:10.1016/j.cam.2015.01.009
Format extent: p. 293-303
URI: http://hdl.handle.net/10651/34084
ISSN: 0377-0427
Appears in Collections:Artículos

Files in This Item:

There are no files associated with this item.

Exportar a Mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Base de Datos de Autoridades Biblioteca Universitaria Consultas / Sugerencias