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A hybrid wavelet kernel SVM-based method using artificial bee colony algorithm for predicting the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir (Northern Spain)
dc.contributor.author | García Nieto, Paulino José | |
dc.contributor.author | García Gonzalo, María Esperanza | |
dc.contributor.author | Alonso Fernández, José Ramón | |
dc.contributor.author | Díaz Muñiz, C. | |
dc.date.accessioned | 2016-06-21T11:37:09Z | |
dc.date.available | 2016-06-21T11:37:09Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Journal of Computational and Applied Mathematics, 309, p. 587–602 (2016); doi:10.1016/j.cam.2016.01.045 | |
dc.identifier.issn | 0377-0427 | |
dc.identifier.uri | http://hdl.handle.net/10651/37808 | |
dc.format.extent | p. 587–602 | |
dc.language.iso | eng | |
dc.relation.ispartof | Journal of Computational and Applied Mathematics | |
dc.rights | © | |
dc.source | Scopus | |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959075554&partnerID=40&md5=7bb9b11086c8edf7707d74a0df114cf6 | |
dc.title | A hybrid wavelet kernel SVM-based method using artificial bee colony algorithm for predicting the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir (Northern Spain) | eng |
dc.type | journal article | |
dc.identifier.doi | 10.1016/j.cam.2016.01.045 | |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.cam.2016.01.045 |
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