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The Optimization of Number of Sensors in One-Chip Electronic Nose Microarrays with the Help of 3-Layered Neural Network

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4 Author(s)
V. V. Sysoev ; Saratov State Technical University, ul. Polytechnicheskaya 77, 410054 Saratov, Russia. E-mail. ; V. Yu. Musatov ; A. V. Silaev ; T. R. Zalyalov

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.

Published in:

2007 Siberian Conference on Control and Communications

Date of Conference:

20-21 April 2007