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

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dc.contributor.author Isasi, Pedro
dc.contributor.author Valls, José M.
dc.contributor.author Galván, Inés M.
dc.date.accessioned 2009-04-16T11:49:54Z
dc.date.available 2009-04-16T11:49:54Z
dc.date.issued 2003
dc.identifier.bibliographicCitation Computational methods in neural modeling. Berlin: Springer, 2003. p.279 - 285 (Lecture Notes in Computer Science; 2686)
dc.identifier.isbn 978-3-540-40210-7
dc.identifier.issn 1611-3349 (Online)
dc.identifier.uri http://hdl.handle.net/10016/3992
dc.description Proceeding of: 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003 Maó, Menorca, Spain, June 3–6, 2003
dc.description.abstract Lazy 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.mimetype application/pdf
dc.language.iso eng
dc.publisher Springer
dc.relation.ispartofseries Lecture Notes in Computer Science
dc.relation.ispartofseries Volume 2686/2003
dc.rights © Springer
dc.title A better selection of patterns in lazy learning radial basis neural networks
dc.type conferenceObject
dc.type bookPart
dc.relation.publisherversion http://dx.doi.org/10.1007/3-540-44868-3_36
dc.subject.eciencia Informática
dc.identifier.doi 10.1007/3-540-44868-3_36
dc.rights.accessRights openAccess
dc.relation.eventdate June 3–6, 2003
dc.relation.eventnumber 7
dc.relation.eventplace Maó (Menorca, Spain)
dc.relation.eventtitle International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 279
dc.identifier.publicationlastpage 285
dc.identifier.publicationtitle Computational methods in neural modeling
dc.identifier.publicationvolume 2686
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