Publication
A hybrid training method for B-spline neural networks
| dc.contributor.author | Cabrita, Cristiano Lourenço | |
| dc.contributor.author | Botzheim, J. | pt_PT |
| dc.contributor.author | Ruano, Antonio | |
| dc.contributor.author | Kóczy, László T. | pt_PT |
| dc.date.accessioned | 2009-02-13T17:09:29Z | |
| dc.date.available | 2009-02-13T17:09:29Z | |
| dc.date.issued | 2008 | |
| dc.description.abstract | Current and past research has brought up new views related to the optimization of neural networks. For a fixed structure, second order methods are seen as the most promising. From previous works we have shown how second order methods are of easy applicability to a neural network. Namely, we have proved how the Levenberg-Marquard possesses not only better convergence but how it can assure the convergence to a local minima. However, as any gradient-based method, the results obtained depend on the startup point. In this work, a reformulated Evolutionary algorithm - the Bacterial Programming for Levenberg-Marquardt is proposed, as an heuristic which can be used to determine the most suitable starting points, therefore achieving, in most cases, the global optimum. | pt_PT |
| dc.format | application/pdf | pt_PT |
| dc.identifier.citation | IEEE International Workshop on Intelligent Signal Processing (WISP). - Faro, 1-3 September 2005. - p. 165-170 | pt_PT |
| dc.identifier.other | AUT: ARU00698; CCA01443; | |
| dc.identifier.uri | http://hdl.handle.net/10400.1/87 | |
| dc.language.iso | por | pt_PT |
| dc.publisher | Faro | pt_PT |
| dc.relation.uri | http://www.bib.ualg.pt/artigos/DocentesEST/CABHyb.pdf | pt_PT |
| dc.rights.uri | restrictedAccess | en |
| dc.subject | Algoritmo de levenberg-marquard | pt_PT |
| dc.subject | Algoritmo bacteriano | pt_PT |
| dc.subject | Programação genética | pt_PT |
| dc.subject | B-splines | pt_PT |
| dc.title | A hybrid training method for B-spline neural networks | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| person.familyName | Cabrita | |
| person.familyName | Ruano | |
| person.givenName | Cristiano Lourenço | |
| person.givenName | Antonio | |
| person.identifier.ciencia-id | FF1E-13A0-A269 | |
| person.identifier.orcid | 0000-0003-4946-0465 | |
| person.identifier.orcid | 0000-0002-6308-8666 | |
| person.identifier.rid | B-4135-2008 | |
| person.identifier.scopus-author-id | 55958626100 | |
| person.identifier.scopus-author-id | 7004284159 | |
| rcaap.type | article | pt_PT |
| relation.isAuthorOfPublication | 081b091f-c9fa-470a-9a28-51fe4c85864a | |
| relation.isAuthorOfPublication | 13813664-b68b-40aa-97a9-91481a31ebf2 | |
| relation.isAuthorOfPublication.latestForDiscovery | 13813664-b68b-40aa-97a9-91481a31ebf2 |
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