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Modeling pressure drop produced by different filtering media in microirrigation sand filters using the hybrid ABC-MARS-based approach, MLP neural network and M5 model tree

dc.contributor.authorGarcía Nieto, Paulino José 
dc.contributor.authorGarcía Gonzalo, María Esperanza 
dc.contributor.authorBové, J.
dc.contributor.authorArbat Pujolràs, Gerard
dc.contributor.authorDuran Ros, M.
dc.contributor.authorPuig-Bargués, J.
dc.date.accessioned2017-10-31T10:48:19Z
dc.date.available2017-10-31T10:48:19Z
dc.date.issued2017
dc.identifier.citationComputers and Electronics in Agriculture, 139, p. 65-74 (2017); doi:10.1016/j.compag.2017.05.008
dc.identifier.issn0168-1699
dc.identifier.urihttp://hdl.handle.net/10651/44128
dc.description.sponsorshipAuthors wish to acknowledge the computational support provided by the Department of Mathematics at University of Oviedo as well as financial support of the Spanish Ministry of Economy and Competitiveness through Grant AGL2015-63750-R. Additionally, we would like to thank Anthony Ashworth for his revision of English grammar and spelling of the manuscript
dc.format.extentp. 65-74
dc.language.isoeng
dc.relation.ispartofComputers and Electronics in Agriculture
dc.rights©,
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85019388232&doi=10.1016%2fj.compag.2017.05.008&partnerID=40&md5=b652fb6e6fe94a25c221619177c97ee3
dc.titleModeling pressure drop produced by different filtering media in microirrigation sand filters using the hybrid ABC-MARS-based approach, MLP neural network and M5 model tree
dc.typejournal article
dc.identifier.doi10.1016/j.compag.2017.05.008
dc.relation.projectIDAGL2015-63750-R
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.compag.2017.05.008


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