Particle Swarms for Feedforward Neural Network Training
| dc.contributor.author | Mendes, Rui | eng |
| dc.contributor.author | Cortez, Paulo | eng |
| dc.contributor.author | Rocha, Miguel | eng |
| dc.contributor.author | Neves, José | eng |
| dc.date.accessioned | 2003-11-19T12:00:39Z | |
| dc.date.available | 2003-11-19T12:00:39Z | |
| dc.date.issued | 2002 | |
| dc.description.abstract | Particle Swarm is a novel optimization paradigm for real-valued functions, based on the social dynamics of group interaction. In this work, it is proposed its application to the training of Neural Networks. Comparative tests were carried out, for classification and regression tasks, being the results compared with other approaches. | eng |
| dc.description.sponsorship | Fundação para a Ciência e Tecnologia - PRAXIS/P/EEI/13096/98. | por |
| dc.distribution | international | eng |
| dc.identifier.citation | INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), Honolulu, Havai, USA, 2002. [s.l.] : IEEE Computer Society, 2002. ISBN 0-7803-7278-6. vol. 2, p. 1895-1899. | |
| dc.identifier.isbn | 0780372786 | por |
| dc.identifier.issn | 2161-4393 | por |
| dc.identifier.uri | https://hdl.handle.net/1822/354 | |
| dc.language.iso | eng | por |
| dc.peerreviewed | yes | eng |
| dc.publisher | IEEE | por |
| dc.rights | restrictedAccess | eng |
| dc.subject | Evolutionary Programming | eng |
| dc.subject | Feedforward Neural Networks | eng |
| dc.subject | Gradient-based Algorithms | eng |
| dc.subject | Particle Swarm Optimization | eng |
| dc.subject.wos | Science & Technology | por |
| dc.title | Particle Swarms for Feedforward Neural Network Training | eng |
| dc.type | conferencePaper | por |
| dspace.entity.type | Publication | en |
| oaire.citationEndPage | 1899 | por |
| oaire.citationStartPage | 1895 | por |
| oaire.citationVolume | 2 | por |
| sdum.conferencePublication | PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3 | por |
| sdum.journal | IEEE International Joint Conference on Neural Networks (IJCNN) | por |
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