Title :
A survey of neural network ensembles
Author :
Zhao, Ying ; Gao, Jun ; Yang, Xuezhi
Author_Institution :
Dept. of Comput. & Inf., Hefei Univ. of Technol.
Abstract :
A neural network ensemble combines a finite number of neural networks or other types of predictors, which are trained simultaneously for a common classification task. Compared with a single neural network, the ensemble is able to efficiently improve the generalization ability of the classifier. The objective of this paper is to introduce existing research work on the neural network ensembles, including effective analysis, general implement steps of ensembles, and traditional technologies for training component neural networks, and also description the applications of it
Keywords :
generalisation (artificial intelligence); learning (artificial intelligence); neural nets; classification task; generalization ability; neural network ensembles; training component; Computer networks; Electronic mail; Forward contracts; Intelligent networks; Machine intelligence; Machine learning; Neural networks; Optical computing; Support vector machine classification; Support vector machines;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614650