Chinese Journal of Computers   Full Text
Title	Neural network ensemble
Authors	ZHOU Zhi-hua/CHEN Shi-fu
Address
Year	2002
Issue	No.1(1-8)
Abstract &   Background	A survey of neural network ensemble is given. Neural network ensemble can significantly improve the generalization ability of learning systems through training a finite number of neural networks and then combining their results. It is not only helpful for scientists to investigate machine learning and neural computing but also helpful for common engineers to solve real world problems using neural network techniques. Therefore neural network ensemble has been regarded as an engineering neural computing technology that has great application prospect. In this paper, the state-of-the art of neural network ensemble is surveyed from three aspects including implementation methods, theoretical analysis, and applications. Moreover, some issues valuable for future exploration in this area are indicated and discussed. keywords Neural networks, Neural network ensembles, Machine learning, Neural computing, Generalization