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A hybrid DE optimized wavelet kernel SVR-based technique for algal atypical proliferation forecast in La Barca reservoir: A case study
| dc.contributor.author | García Nieto, Paulino José | |
| dc.contributor.author | García Gonzalo, María Esperanza | |
| dc.contributor.author | Sánchez Lasheras, Fernando | |
| dc.contributor.author | Alonso Fernández, José Ramón | |
| dc.contributor.author | Díaz Muñiz, C. | |
| dc.date.accessioned | 2020-01-23T08:17:37Z | |
| dc.date.available | 2020-01-23T08:17:37Z | |
| dc.date.issued | 2020 | |
| dc.identifier.citation | Journal of Computational and Applied Mathematics, 366, p. 112417- (2020); doi:10.1016/j.cam.2019.112417 | |
| dc.identifier.issn | 0377-0427 | |
| dc.identifier.uri | http://hdl.handle.net/10651/53776 | |
| dc.description.sponsorship | 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 | |
| dc.format.extent | p. 112417- | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Journal of Computational and Applied Mathematics | |
| dc.rights | © 2019 ElsevierB.V. All rights reserved | |
| dc.rights | CC Reconocimiento - No Comercial - Sin Obra Derivada 4.0 Internacional | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.source | Scopus | |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070995460&doi=10.1016%2fj.cam.2019.112417&partnerID=40&md5=a72a9ce6a8aa830c93c9ef64c81134ec | |
| dc.title | A hybrid DE optimized wavelet kernel SVR-based technique for algal atypical proliferation forecast in La Barca reservoir: A case study | |
| dc.type | journal article | |
| dc.identifier.doi | 10.1016/j.cam.2019.112417 | |
| dc.relation.projectID | GRUPIN/IDI/2018/000221 | |
| dc.relation.publisherversion | http://dx.doi.org/10.1016/j.cam.2019.112417 | |
| dc.rights.accessRights | open access | |
| dc.type.hasVersion | AM |
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