학술논문
On Combining Backpropagation with Boosting
Document Type
Conference
Author
Source
The 2006 IEEE International Joint Conference on Neural Network Proceedings Neural Networks, 2006. IJCNN '06. International Joint Conference on. :1274-1277 2006
Subject
Language
ISSN
2161-4393
2161-4407
2161-4407
Abstract
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.