Neuro-Fuzzy TSK Network for Calibration of Semiconductor Sensor Array for Gas Measurements
S. Osowski, Trần Hoài Linh, Kazimierz Brudzewski · IEEE Transactions on Instrumentation and Measurement · 2004
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.