Ensemble algorithm of neural networks and its application

被引：0

作者：

Liu, Y ^{[1
]}

Wang, Y ^{[1
]}

Zhang, BF ^{[1
]}

Wu, GF ^{[1
]}

机构：

[1] Shanghai Univ, Sch Engn & Comp Sci, Shanghai 200072, Peoples R China

来源：

PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年

关键词：

neural network ensemble; RBF neural network; genetic algorithm;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Neural network ensemble is a very hot topic in both neural networks and machine learning communities [1]. In this paper, a new approach named BAGAEN is proposed, in which adaptive genetic. algorithm and Bootstrap algorithm are employed to increase the different degrees among individual RBF neural networks in order to enhance the generalization ability of a neural network system. The training set for individual RBF neural network is generated by the algorithm based on Bootstrap and the result can be obtained by using majority voting method or simple averaging method. Experimental results show that BAGAEN has preferable. performance in generating ensembles with strong generalization ability. Finally, BAGAEN is applied to predict the magnitude of earthquake.

引用

页码：3464 / 3467

页数：4

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