Optimized Combination, Regularization, and Pruning in Parallel Consensual Neural Networks

Abstract

Optimized combination, regularization, and pruning is proposed for the Parallel Consensual Neural Networks (PCNNs) which is a neural network architecture based on the consensus of a collection of stage neural networks trained on the same input data with different representations. Here, a regularization scheme is presented for the PCNN and in training a… (More)

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Cite this paper

@inproceedings{Benediktsson1998OptimizedCR, title={Optimized Combination, Regularization, and Pruning in Parallel Consensual Neural Networks}, author={J. A. Benediktsson and John Larsen and J. R. Sveinsson and Lars Kai Hansen}, year={1998} }