Neural network calibration of a semiconductor metal oxide micro smell sensor

Author

Reza Nadafi, D.B. ; Nejad, Saman Nazari ; Kabganian, Mansour ; Barazandeh, Farshad

Author_Institution

New Technol. Res. Center, Amirkabir Univ. of Technol., Tehran, Iran

fYear

2010

fDate

5-7 May 2010

Firstpage

154

Lastpage

157

Abstract

A Design of a micro smell sensor based on semiconductor metal oxide method is presented. This sensor is able to recognize two different kinds of gas (CO and H₂) and will estimate the amount of dominate gas in the environment. The SnO₂ is employed as the key module of the sensor. A neural network calibration is applied to the sensor in order to identification of one of the two gases in an environment with complex combination of gases. The results vividly show that the sensor is able to approximate the amount of these two gases in the pool of gases.

Keywords

calibration; gas sensors; microsensors; neural nets; SnO₂; gas identification; gas sensor; neural network calibration; semiconductor metal oxide micro smell sensor; Calibration; Chemical sensors; Dielectrics and electrical insulation; Gas detectors; Gases; Hydrogen; Mechanical sensors; Neural networks; Resistance heating; Thermal sensors; Micro smell sensor; Neural Network; error Backpropagation training; gas sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Design Test Integration and Packaging of MEMS/MOEMS (DTIP), 2010 Symposium on

Conference_Location

Seville

Print_ISBN

978-1-4244-6636-8

Electronic_ISBN

978-2-35500-011-9

Type

conf

Filename

5486494