Fibre-optic Chemical Sensor Based on Characteristic Spectrum Recognition and its Application

Author

Yang, Cuirong ; Pang, Quan ; Fan, Yingle ; Xu, Ping

Author_Institution

Hangzhou Dianzi Univ., Hangzhou

fYear

2007

fDate

May 30 2007-June 1 2007

Firstpage

802

Lastpage

805

Abstract

In this paper, a characteristic spectrum recognition method based on artificial neural network is proposed to improve the sensitivity and selectivity of the chemical sensor. The requirements on the selectivity and the sensitivity of the chemical sensing materials can be lowered while the sensing function and sensing range raised effectively, which will be benefit to the practical realization and application of the chemical sensing system.

Keywords

chemical sensors; neural nets; artificial neural network; characteristic spectrum recognition; chemical sensing material; chemical sensing system; chemical sensor selectivity; chemical sensor sensitivity; fibre-optic chemical sensor; sensing function; sensing range; Absorption; Artificial neural networks; Biosensors; Character recognition; Chemical sensors; Neural networks; Optical fiber sensors; Sensor arrays; Sensor phenomena and characterization; Signal analysis; Chemical sensor; neural network; recognition; spectrum;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Automation, 2007. ICCA 2007. IEEE International Conference on

Conference_Location

Guangzhou

Print_ISBN

978-1-4244-0818-4

Electronic_ISBN

978-1-4244-0818-4

Type

conf

DOI

10.1109/ICCA.2007.4376467

Filename

4376467