Fast Neural Network Ensemble Learning via Negative-Correlation Data Correction
| dc.contributor.author | Chan, Z. | |
| dc.contributor.author | Kasabov, N | |
| dc.date.accessioned | 2009-05-27T22:18:56Z | |
| dc.date.available | 2009-05-27T22:18:56Z | |
| dc.date.copyright | 2005 | |
| dc.date.created | 2005 | |
| dc.date.issued | 2005 | |
| dc.description.abstract | This letter proposes a new negative correlation (NC) learning method that is both easy to implement and has the advantages that: 1) it requires much lesser communication overhead than the standard NC method and 2) it is applicable to ensembles of heterogenous networks. © 2005 IEEE. | |
| dc.identifier.doi | 10.1109/TNN.2005.852859 | |
| dc.identifier.uri | https://hdl.handle.net/10292/615 | |
| dc.publisher | IEEE | |
| dc.rights | ©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | |
| dc.rights.accessrights | OpenAccess | |
| dc.source | IEEE Transactions on Neural Networks, 16, 6, 1707-1710 | |
| dc.title | Fast Neural Network Ensemble Learning via Negative-Correlation Data Correction | |
| dc.type | Journal Article |