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High-precision neural pre-processing for signal analysis of a sensor array

1998; Elsevier BV; Volume: 47; Issue: 1-3 Linguagem: Inglês

10.1016/s0925-4005(98)00010-0

1873-3077

D. Gnani, V. Guidi, Matteo Ferroni, G. Faglia, Giorgio Sberveglieri,

Gas Sensing Nanomaterials and Sensors

An array of semiconducting thin-film sensors is used for high-accuracy determination of gas concentrations in a binary mixture of H2S and NO2. For this purpose we developed a newly conceived pre-processing method for data feeding of a standard neural network. Pre-processing exploits dimension compaction of the vectorial signal of the sensor array. This operation is being accomplished by an auxiliary auto-associative network, separately trained from the main one. Our results present unprecedented accuracy even when applied to a validation-data set and appear to be of widespread application.