Publication:
A better selection of patterns in lazy learning radial basis neural networks

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Computación Evolutiva y Redes Neuronales (EVANNAI)es
dc.contributor.authorIsasi, Pedro
dc.contributor.authorValls, José M.
dc.contributor.authorGalván, Inés M.
dc.date.accessioned2009-04-16T11:49:54Z
dc.date.available2009-04-16T11:49:54Z
dc.date.issued2003
dc.descriptionProceeding of: 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003 Maó, Menorca, Spain, June 3–6, 2003
dc.description.abstractLazy learning methods have been proved useful when dealing with problems in which the learning examples have multiple local functions. These methods are related with the selection, for training purposes, of a subset of examples, and making some linear combination to generate the output. On the other hand, neural network are eager learning methods that have a high nonlinear behavior. In this work, a lazy method is proposed for Radial Basis Neural Networks in order to improve both, the generalization capability of those networks for some specific domains, and the performance of classical lazy learning methods. A comparison with some lazy methods, and RBNN trained as usual is made, and the new approach shows good results in two test domains, a real life problem and an artificial domain.
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationComputational methods in neural modeling. Berlin: Springer, 2003. p.279 - 285 (Lecture Notes in Computer Science; 2686)
dc.identifier.doi10.1007/3-540-44868-3_36
dc.identifier.isbn978-3-540-40210-7
dc.identifier.issn1611-3349 (Online)
dc.identifier.publicationfirstpage279
dc.identifier.publicationlastpage285
dc.identifier.publicationtitleComputational methods in neural modeling
dc.identifier.publicationvolume2686
dc.identifier.urihttps://hdl.handle.net/10016/3992
dc.language.isoeng
dc.publisherSpringer
dc.relation.eventdateJune 3–6, 2003
dc.relation.eventnumber7
dc.relation.eventplaceMaó (Menorca, Spain)
dc.relation.eventtitleInternational Work-Conference on Artificial and Natural Neural Networks, IWANN 2003
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.relation.ispartofseriesVolume 2686/2003
dc.relation.publisherversionhttp://dx.doi.org/10.1007/3-540-44868-3_36
dc.rights© Springer
dc.rights.accessRightsopen access
dc.subject.ecienciaInformática
dc.titleA better selection of patterns in lazy learning radial basis neural networks
dc.typeconference paper*
dspace.entity.typePublication
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