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Fuzzy self-organizing hybrid neural network for gas analysis system

被引：5
|
作者：
Osowski, S [1 ]
Brudzewski, K
机构：
[1] Warsaw Univ Technol, Inst Theory Elect Engn & Elect Measurements, Warsaw, Poland
[2] Warsaw Univ Technol, Dept Chem, Warsaw, Poland
来源：
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2000年 / 49卷 / 02期
关键词：
detectors; fuzzy systems; neural networks; pattern clustering methods; signal processing;
D O I：
10.1109/19.843090
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The paper presents the gas analysis system applying the self-organizing fuzzy hybrid neural network. The network is composed of the self-organizing competitive fuzzy layer and the supervised multilayer perceptron (MLP) subnetwork, connected in cascade. The characteristic features of this network structure for gas analysis systems are discussed and the results of experiments compared to standard neural solutions based on MLP or classical hybrid network employing the Kohonen layer.
引用
收藏
页码：424 / 428
页数：5
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