Neural Networks Ensemble Based on Fuzzy Cluster

doi:10.3969/j.issn.1006-2475.2011.03.004

Computer and Modernization ›› 2011, Vol. 1 ›› Issue (3): 12-14.doi: 10.3969/j.issn.1006-2475.2011.03.004

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Neural Networks Ensemble Based on Fuzzy Cluster

HUANG Wen-tao¹, BAO Hong¹, ZHANG Jing²

1. School of Automation, Guangdong University of Technology, Guangzhou 510006, China;2. School of Informatics, Guangdong University of Foreign Studies, Guangzhou 510006, China

Received:2010-11-12 Revised:1900-01-01 Online:2011-03-18 Published:2011-03-18

Abstract

Abstract: Aiming at diversity being an important condition of the ensemble learning, this paper studies the method for improving diversity of the neural networks ensemble based on fuzzy cluster algorithm. At first, a lot of weak classifiers weights and thresholds are collected as the original data of the fuzzy cluster algorithm. And then the individuals of the nearest clustering center are selected to make up of the memberships weights and thresholds of the ensemble learning. Finally, the experiment results prove the effectiveness of this method.

Key words: diversity, fuzzy cluster, neural networks ensemble

CLC Number:

TP391.4

HUANG Wen-tao;BAO Hong;ZHANG Jing. Neural Networks Ensemble Based on Fuzzy Cluster[J]. Computer and Modernization, 2011, 1(3): 12-14.

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