Determination of the composition of NO2 and NO mixture by thin film sensor and back-propagation network

被引：17

作者：

Chen, JC ^{[1
]}

Liu, CJ ^{[1
]}

Ju, YH ^{[1
]}

机构：

[1] Natl Taiwan UnivSci & Technol, Lab Thin Film Sensor Res, Dept Chem Engn, Taipei 10607, Taiwan

来源：

SENSORS AND ACTUATORS B-CHEMICAL | 2000年 / 62卷 / 02期

关键词：

organic thin film; gas sensor; back-propagation network; gas mixture;

D O I：

10.1016/S0925-4005(99)00378-0

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

In this work, vacuum deposited thin films of lead phthalocyanine (PbPc) were employed as gas sensor to detect mixtures of NO2 and NO. Data collected from sensor responses were used to train a two-stage back-propagation network (BPN) for the determination of the gas mixture composition. The success rate for the two-stage BPN in identifying categories of gas mixture approaches 100%. The maximum error for the two-stage BPN in predicting NO concentration in a gas mixture with fixed NO2 concentration is 14.7%. (C) 2000 Elsevier Science S.A. All rights reserved.

引用

页码：143 / 147

页数：5

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