DocumentCode :
2420118
Title :
Merging Ensemble of Neuro-Fuzzy Systems
Author :
Korytkowski, Marcin ; Nowicki, Robert ; Rutkowski, Leszek ; Scherer, Rafal
Author_Institution :
Czestochowa Univ. of Technol., Czestochowa
fYear :
0
fDate :
0-0 0
Firstpage :
1954
Lastpage :
1957
Abstract :
Classification accuracy is nearly always improved after combining many systems. One of the most popular methods of multiple classification is boosting. In the paper we develop a method for merging fuzzy rule bases of neuro-fuzzy systems constituting an ensemble trained by the boosting algorithm.
Keywords :
fuzzy neural nets; fuzzy reasoning; fuzzy systems; learning (artificial intelligence); merging; pattern classification; boosting algorithm; classification accuracy; fuzzy rule base merging; neuro-fuzzy system; Artificial intelligence; Backpropagation algorithms; Bagging; Boosting; Fuzzy neural networks; Fuzzy systems; Intelligent systems; Learning systems; Merging; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2006 IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9488-7
Type :
conf
DOI :
10.1109/FUZZY.2006.1681971
Filename :
1681971
Link To Document :
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