Application of an artificial neural network in the processing of output signals from a gas sensor with sol-gel-derived TiO2 film

Abstract

TiO2 thin film obtained by the sol-gel technique was used as the active layer in an electric sensor to distinguish the vapours of four volatile organic compounds: hexane, hexanol, cyclohexane and benzene. The measurements were performed at various temperatures of the sensing layer. Some of the output signals obtained from the sensor were characterized by… (More)

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