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Recognition Capability of ANN For The Analysis of PbO-Doped Sno2 Sensor For Detection of Acetone

Journal: International Journal of Scientific Engineering and Technology (IJSET) (Vol.2, No. 5)

Publication Date:

Authors : ;

Page : 370-372

Keywords : Artificial Neural Network; Thick film sensor; sensitivity; Radial basis function;

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In the present work thick film SnO2 sensor was fabricated on a 1˝x1˝ alumina substrate. It consists of a gas sensitive layer (SnO2) doped with PbO, a pair of electrodes underneath the gas sensing layer serving as a contact pad for sensor. Also a heater element on the backside of the substrate was printed. The sensitivity of sensor has been studied at different temperatures (1500C-3500C) upon exposure to acetone. An approach is made to measure the sensitivity of PbO-doped SnO2 by using ANN tool. Result presented in the paper shows the potential of ANN as a design tool in the area of thick film sensor.

Last modified: 2013-05-24 22:07:32