Title :
The Optimization of Number of Sensors in One-Chip Electronic Nose Microarrays with the Help of 3-Layered Neural Network
Author :
Sysoev, V.V. ; Musatov, V. Yu ; Silaev, A.V. ; Zalyalov, T.R.
Author_Institution :
Saratov State Tech. Univ., Saratov
Abstract :
We have tested the gas response of multisensor microarrays of "electronic nose" type based on monolithic SnO2 film segmented by metal electrodes. With 3-layered neural network we show that not all the sensor segments of the film are necessary to be involved for successful gas identification. By proper choosing the sensors it is possible to significantly decrease the number of sensors without a loss of recognition power.
Keywords :
electronic noses; microsensors; neural nets; optimisation; sensor fusion; tin compounds; 3-layered neural network; SnO2; electronic nose; gas identification; gas response; metal electrodes; monolithic film; multisensor microarrays; optimization; sensor segments; Bonding; Chemical sensors; Communication system control; Electrodes; Electronic noses; Gas detectors; Neural networks; Olfactory; Sensor arrays; Substrates; Electronic nose; gas sensor; neural network;
Conference_Titel :
Control and Communications, 2007. SIBCON '07. Siberian Conference on
Conference_Location :
Tomsk
Print_ISBN :
1-4244-0346-4
DOI :
10.1109/SIBCON.2007.371322
