Fusion of Self-Organizing Maps with Different Sizes

被引:0
作者
Pasa, Leandro Antonio [1 ,2 ]
Costa, Jose Alfredo F. [2 ]
de Medeiros, Marcial Guerra [2 ]
机构
[1] UTFPR, Medianeira, Brazil
[2] Univ Fed Rio Grande do Norte, UFRN, BR-59072970 Natal, RN, Brazil
来源
INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2015 | 2015年 / 9375卷
关键词
Ensemble; Self-Organizing Maps; Classification; SOM ENSEMBLE;
D O I
10.1007/978-3-319-24834-9_10
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
An ensemble consists of several neural networks whose outputs are fused to produce a single output, which usually will be better than the individual results of each network. This work presents a methodology to aggregate the results of several Kohonen Self-Organizing Maps in an ensemble. Computational simulations demonstrate an increase in the accuracy classification and the proposed method effectiveness was evidenced by the Wilcoxon Signed Rank Test.
引用
收藏
页码:77 / 86
页数:10
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