Abstract:
Several means for improving the performance and training of neural networks for classification are proposed. Crossvalidation is used as a tool for optimizing network para...Show MoreMetadata
Abstract:
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.<>
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence ( Volume: 12, Issue: 10, October 1990)
DOI: 10.1109/34.58871
