Neuro-fuzzy TSK network for calibration of semiconductor sensor array for gas measurements

被引：16

作者：

Osowski, S ^{[1
]}

Linh, TH

Brudzewski, K

机构：

[1] Warsaw Univ Technol, Inst Theory Elect Engn Measurement & Informat Sys, PL-00661 Warsaw, Poland

[2] Mil Univ Technol, PL-00661 Warsaw, Poland

[3] Warsaw Univ Technol, Sensor Tech Lab, PL-00661 Warsaw, Poland

来源：

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2004年 / 53卷 / 03期

关键词：

Gas measurement; neuro-fuzzy Takagi-Sugeno-Kang (TSK) network; semiconductor sensor calibration;

D O I：

10.1109/TIM.2004.827318

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 neuro-fuzzy network applying Takagi-Sugeno-Kang (TSK) fuzzy reasoning for the calibration of the semiconductor sensor array is developed in this paper. The structure, as well as the learning. algorithm of the neuro-fuzzy network, is presented and tested on the example of estimation of the concentration of gas components in the gaseous mixture (so-called artificial nose problem). The results of numerical experiments are presented and discussed.

引用

页码：630 / 637

页数：8

共 12 条

[1] A fuzzy classifier with ellipsoidal regions [J].