Methods of Computational Intelligence to Give Qualitative and Quantitative Statements of Gas Concentrations at a High Temperature Sensor

H
HIS
2005
Fifth International Conference on Hybrid Intelligent Systems (HIS'05)
Abstract - Methods of Computational Intelligence to Give Qualitative and Quantitative Statements of Gas Concentrations at a High Temperature Sensor

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Norman Bauersfeld Articles by Klaus-Dietrich Kramer Articles by Steffen Patzwahl

Fifth International Conference on Hybrid Intelligent Systems (HIS'05)

Rio de Janeiro, Brazil

December 06-December 09

ISBN: 0-7695-2457-5

	ASCII Text	x
	Norman Bauersfeld, Klaus-Dietrich Kramer, Steffen Patzwahl, "Methods of Computational Intelligence to Give Qualitative and Quantitative Statements of Gas Concentrations at a High Temperature Sensor," Hybrid Intelligent Systems, International Conference on, pp. 431-436, Fifth International Conference on Hybrid Intelligent Systems (HIS'05), 2005.

	BibTex	x
	@article{ 10.1109/ICHIS.2005.72, author = {Norman Bauersfeld and Klaus-Dietrich Kramer and Steffen Patzwahl}, title = {Methods of Computational Intelligence to Give Qualitative and Quantitative Statements of Gas Concentrations at a High Temperature Sensor}, journal ={Hybrid Intelligent Systems, International Conference on}, volume = {0}, year = {2005}, isbn = {0-7695-2457-5}, pages = {431-436}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICHIS.2005.72}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Hybrid Intelligent Systems, International Conference on TI - Methods of Computational Intelligence to Give Qualitative and Quantitative Statements of Gas Concentrations at a High Temperature Sensor SN - 0-7695-2457-5 SP431 EP436 A1 - Norman Bauersfeld, A1 - Klaus-Dietrich Kramer, A1 - Steffen Patzwahl, PY - 2005 KW - null VL - 0 JA - Hybrid Intelligent Systems, International Conference on ER -

Norman Bauersfeld, Harz University of Applied Studies and Research

Klaus-Dietrich Kramer, Harz University of Applied Studies and Research

Steffen Patzwahl, Institute for Automation Control and Computer Science Inc.

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICHIS.2005.72

This paper describes property evaluation and clustering of sensor data that depends on different gas types and their concentrations. The application subject is to find gas specific information by a multidimensional feature set to give qualitative and quantitative statements. This is investigated by different clustering methods, the fuzzy-c-means algorithm and its derivatives and neural networks. The resulting patterns will be deployed as recognition field for gas detection, that takes recalibration mechanisms into consideration.

Citation:

Norman Bauersfeld, Klaus-Dietrich Kramer, Steffen Patzwahl, "Methods of Computational Intelligence to Give Qualitative and Quantitative Statements of Gas Concentrations at a High Temperature Sensor," his, pp.431-436, Fifth International Conference on Hybrid Intelligent Systems (HIS'05), 2005

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.