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Recognition Capability of ANN For The Analysis of PbO-Doped Sno2 Sensor For Detection of Acetone Bhatnagar Tanu Department of ECE, Sir Padampat Singhania University, Udaipur, India. Email: tanu.ijmt27@gmail.com Online published on 4 November, 2017. Abstract 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. Top Keywords Artificial Neural Network, Thick film sensor, sensitivity, Radial basis function. Top | |
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