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Modifying the learning rate of FLNG dealing with imbalanced datasets

dc.contributor.authorMachón González, Iván José 
dc.contributor.authorLópez García, Hilario 
dc.contributor.authorLuís Calvo-Rolle, J.
dc.date.accessioned2016-03-22T13:15:54Z
dc.date.available2016-03-22T13:15:54Z
dc.date.issued2010
dc.identifier.citationProceedings of the International Joint Conference on Neural Networks (2010); doi:10.1109/IJCNN.2010.5596817
dc.identifier.isbn9781424469178
dc.identifier.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-79959400783&partnerID=40&md5=e2f313c8a357f47eb62e550b3796bb5a
dc.identifier.urihttp://hdl.handle.net/10651/36217
dc.descriptionIEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 ( 6. 2010. Barcelona)
dc.language.isoeng
dc.relation.ispartofProceedings of the International Joint Conference on Neural Networks
dc.rights©,
dc.sourceScopus
dc.titleModifying the learning rate of FLNG dealing with imbalanced datasets
dc.typeconference outputspa
dc.identifier.doi10.1109/IJCNN.2010.5596817
dc.relation.publisherversionhttp://dx.doi.org/10.1109/IJCNN.2010.5596817


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