A. Depari, M. Ferrari, P. Ferrari, V. Ferrari, A. Flammini, D. Marioli, A. Taroni
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Abstract
In this paper we present the description and the experimental characterization of a system for chemical recognition made up of sensors, first conditioning electronics and DSP-based processing electronics. A test apparatus is built to manage gravimetric sensor arrays and a suitable neural network is applied to their outputs. Classification results are available on a Web server that has been embedded in the DSP electronics. Finally, to show system capability, an experiment with three different vapors is carried out.
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