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Neural network ensembles
Lars Kai Hansen (San Diego State University), Peter Salamon (San Diego State University)
IEEE Transactions on Pattern Analysis and Machine Intelligence
DOI: 10.1109/34.58871 (Computer Science)
Licence : non indiquée (tous droits réservés)
Résumé : Several means for improving the performance and training of neural networks for classification are proposed. Crossvalidation is used as a tool for optimizing network parameters and architecture. It is shown that the remaining residual generalization error can be reduced by invoking ensembles of similar networks.>
Publié le 01 Jan. 1990