Evolving fuzzy neural networks applied to odor recognition in an artificial nose

被引：0
|
作者：
Zanchettin, C [1 ]
Ludermir, TB [1 ]
机构：
[1] Univ Fed Pernambuco, Ctr Informat, BR-50732970 Recife, PE, Brazil
来源：
2004 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS | 2004年
关键词：
D O I：
10.1109/IJCNN.2004.1379998
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A pattern recognition system using Evolving Fuzzy Neural Networks for an artificial nose is presented. The artificial nose is composed of an adaptive and on-line learning method. For the classification of gases derived from the petroliferous industry, the method presented achieves better results (mean classification error of 0.88%) than those obtained by Time Delay Neural Networks (10.54%).
引用
收藏
页码：675 / 680
页数：6
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