VAPOR RECOGNITION USING ORGANIC FILMS AND ARTIFICIAL NEURAL NETWORKS

被引：44

作者：

BARKER, PS ^{[1
]}

CHEN, JR ^{[1
]}

AGBOR, NE ^{[1
]}

MONKMAN, AP ^{[1
]}

MARS, P ^{[1
]}

PETTY, MC ^{[1
]}

机构：

[1] UNIV DURHAM,DEPT PHYS,DURHAM DH1 3LE,ENGLAND

来源：

SENSORS AND ACTUATORS B-CHEMICAL | 1994年 / 17卷 / 02期

关键词：

D O I：

10.1016/0925-4005(94)87042-X

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Organic thin-film sensors based on the thermal evaporation and dip-coating of polyaniline, and on the Langmuir-Blodgett deposition of a vanadium porphyrin, have been fabricated. The d.c. electrical resistances of the individual elements are found to exhibit different changes on exposure to simple vapours (water, propanol, ethyl acetate and acetone). These data have been used successfully to train an artificial neural network, based on a back-propagation technique, to recognize two of the vapours.

引用

页码：143 / 147

页数：5

共 6 条

[1] EXTENDED STUDIES OF THE AUTOMATED ODOR-SENSING SYSTEM BASED ON PLURAL SEMICONDUCTOR GAS SENSORS WITH COMPUTERIZED PATTERN-RECOGNITION TECHNIQUES [J].