DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, DW | - |
dc.contributor.author | Choi, HJ | - |
dc.contributor.author | Lee, J | - |
dc.date.accessioned | 2016-03-31T12:17:02Z | - |
dc.date.available | 2016-03-31T12:17:02Z | - |
dc.date.created | 2009-02-28 | - |
dc.date.issued | 2004-01 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.other | 2004-OAK-0000004493 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/17747 | - |
dc.description.abstract | A novel two phases training algorithm for a multilayer perceptron with regularization is proposed to solve a local minima problem for training networks and to enhance the generalization property of networks trained. The first phase is a trust region-based local search for fast training of networks. The second phase is an regularized line search tunneling for escaping local minima and moving toward a weight vector of next descent. These two phases are repeated alternatively in the weight space to achieve a goal training error. Benchmark results demonstrate a significant performance improvement of the proposed algorithm compared to other existing training algorithms. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | SPRINGER-VERLAG BERLIN | - |
dc.relation.isPartOf | LECTURE NOTES IN COMPUTER SCIENCE | - |
dc.title | A regularized line search tunneling for efficient neural network learning | - |
dc.type | Article | - |
dc.contributor.college | 산업경영공학과 | - |
dc.identifier.doi | 10.1007/978-3-540-28647-9_41 | - |
dc.author.google | Lee, DW | - |
dc.author.google | Choi, HJ | - |
dc.author.google | Lee, J | - |
dc.relation.volume | 3173 | - |
dc.relation.startpage | 239 | - |
dc.relation.lastpage | 243 | - |
dc.contributor.id | 10081901 | - |
dc.relation.journal | LECTURE NOTES IN COMPUTER SCIENCE | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCIE | - |
dc.collections.name | Conference Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | LECTURE NOTES IN COMPUTER SCIENCE, v.3173, pp.239 - 243 | - |
dc.identifier.wosid | 000223492600041 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.endPage | 243 | - |
dc.citation.startPage | 239 | - |
dc.citation.title | LECTURE NOTES IN COMPUTER SCIENCE | - |
dc.citation.volume | 3173 | - |
dc.contributor.affiliatedAuthor | Lee, J | - |
dc.identifier.scopusid | 2-s2.0-24944568603 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 2 | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
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