Application of artificial neural networks to the design and implementation of electronic olfactory systems

被引：0

作者：

Brezmes, J ^{[1
]}

Canyellas, N ^{[1
]}

Llobet, E ^{[1
]}

Vilanova, X ^{[1
]}

Correig, X ^{[1
]}

机构：

[1] Univ Rovira & Virgili, Dept Engn Elect, Tarragona, Spain

来源：

NEUREL 2000: PROCEEDINGS OF THE 5TH SEMINAR ON NEURAL NETWORK APPLICATIONS IN ELECTRICAL ENGINEERING | 2000年

关键词：

electronic nose; neural network; gas sensor; tin dioxide; chemical sensor array;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Recent developments in electronic olfactory systems have broaden their range of applications to many industrial fields, such as the chemical, food and cosmetic industries. Mimicking the human olfactory systems, where neural processing enhances the sensibility and selectivity of the chemosensory receptor cells, the new generation of "Electronic Noses" combine arrays of chemical sensors with powerful artificial neural network processing algorithms. This paper reviews the state of the art on these electronic instruments and describes the research activities conducted on this field by the Electrical Engineering Department of the Rovira i Virgili University of Tarragona, Spain.

引用

页码：75 / 80

页数：6

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