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Solving hard local minima problems using basin cells for multilayer Perceptron training

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dc.contributor.authorYoon, Younggui-
dc.contributor.authorLee, Jaewook-
dc.date.accessioned2022-01-11T02:42:10Z-
dc.date.available2022-01-11T02:42:10Z-
dc.date.issued2005-05-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/53217-
dc.description.abstractAn analysis of basin cells for an error surface of an multilayer perceptron is presented. Utilizing the topological structure of the basin cells, an escaping strategy is proposed to solve difficult local minima problems. A numerical example is given to illustrate the proposed method and is shown to have a potential to locate better local minima efficiently.-
dc.format.extent6-
dc.language영어-
dc.language.isoENG-
dc.publisherSpringer Verlag-
dc.titleSolving hard local minima problems using basin cells for multilayer Perceptron training-
dc.typeArticle-
dc.identifier.doi10.1007/11427391_95-
dc.identifier.bibliographicCitationLecture Notes in Computer Science, v.3496, no.I, pp 597 - 602-
dc.description.isOpenAccessN-
dc.identifier.wosid000230166900095-
dc.identifier.scopusid2-s2.0-24944579668-
dc.citation.endPage602-
dc.citation.numberI-
dc.citation.startPage597-
dc.citation.titleLecture Notes in Computer Science-
dc.citation.volume3496-
dc.type.docTypeArticle; Proceedings Paper-
dc.publisher.location미국-
dc.subject.keywordPlusUNSTABLE EQUILIBRIUM-POINT-
dc.subject.keywordPlusSTABILITY REGION ESTIMATE-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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