On Combining Backpropagation with Boosting
Marcin Korytkowski, Leszek Rutkowski, Rafał Scherer · The 2006 IEEE International Joint Conference on Neural Network Proceedings · 2006
Boosting is a method for learning combined classifiers. In a boosting ensemble of classifiers trained by the backpropagation algorithm, the learning rate takes much smaller value comparing with the backpropagation applied alone. We propose a method which overcomes the above drawback and test it on neuro-fuzzy systems constituting a classifier ensemble using some well known benchmarks.