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

被引：35

作者：

Pardo, M

Faglia, G

Sberveglieri, G

Corte, M

Masulli, F

Riani, M

机构：

[1] Ist Nazl Fis Mat, I-16152 Genoa, Italy

[2] Univ Genoa, DIFI, I-16146 Genoa, Italy

[3] Univ Genoa, DISI, I-16146 Genoa, Italy

[4] Univ Brescia, I-25133 Brescia, Italy

来源：

SENSORS AND ACTUATORS B-CHEMICAL | 2000年 / 65卷 / 1-3期

关键词：

neural network; gas; mixture;

D O I：

10.1016/S0925-4005(99)00336-6

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

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.

引用

页码：267 / 269

页数：3

共 6 条

[1]

Abarbanel H, 1996, ANAL OBSERVED CHAOTI

[2] Simultaneous quantification of carbon monoxide and methane in humid air using a sensor array and an artificial neural network [J].