Title :
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
fDate :
May 30 2007-June 1 2007
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;
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
DOI :
10.1109/ICCA.2007.4376467
