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A time delay neural network for estimation of gas concentrations in a mixture

Articolo
Data di Pubblicazione:
2000
Abstract:
The problem of quantifying the concentrations of CO and NO2 present in a mixture starting from the electrical response of a sensors array is addressed. A comparison between a traditional approach based on the steady state conductance and one using a time delay neural network is drawn. (C) 2000 Elsevier Science S.A. All rights reserved.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
neural network; gas; mixture; SENSOR; QUANTIFICATION
Elenco autori:
Pardo, Matteo
Autori di Ateneo:
PARDO MATTEO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/20584
Pubblicato in:
SENSORS AND ACTUATORS. B, CHEMICAL
Journal
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