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Conf Proc IEEE Eng Med Biol Soc

Title:		Application of biologically modeled chaotic neural network to pattern recognition in artificial olfaction
Author(s):		Fu J; Yang X; Yang X; Li G; Freeman W;
Address:		"Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China"
Journal Title:		Conf Proc IEEE Eng Med Biol Soc
Year:		2005
Volume:		2005
Issue:
Page Number:		4666 - 4669
DOI:		10.1109/IEMBS.2005.1615511
ISSN/ISBN:		1557-170X (Print) 1557-170X (Linking)
Abstract:		"This paper presents a novel neural network called KIII model for pattern recognition in artificial olfaction, whose topological structure and parameters are based on anatomical and electrophysiology experiments in mammalian olfactory system. Six data sets of three volatile organic compounds in different conditions, each with a wide range of concentrations, are obtained by a signal acquisition system with tin oxide gas sensor array. They are input into KIII model for training and test. Experimental results show that the system had a good classification performance in a wide concentration range while only a few training samples needed"
Keywords:
Notes:		"PubMed-not-MEDLINEFu, Jun Yang, Xinling Yang, Xianglong Li, Guang Freeman, Walter eng 2007/02/07 Conf Proc IEEE Eng Med Biol Soc. 2005; 2005:4666-9. doi: 10.1109/IEMBS.2005.1615511"