Study of a chaotic olfactory neural network model and its applications on pattern classification.

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Study of a chaotic olfactory neural network model and its applications on pattern classification. Abstract Text:

Le Wang,Guang Li,Xi Liu,Baojun Wang,W J Freeman,

Based on the research of biological olfactory system, a novel chaotic neural network model - K set model has been established. This chaotic neural network can not only simulate the real brain activity of olfactory system, but also present novel chaotic concept for signal processing and pattern recognition. This paper investigates the characteristics of the K set models. Experimental result shows that KIII model can be used for various area of pattern classification efficiently.

Study of a chaotic olfactory neural network model and its applications on pattern classification. Publishing Authors By Initials

L Wang,G Li,X Liu,B Wang,WJ Freeman,

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Study of a chaotic olfactory neural network model and its applications on pattern classification. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Conference proceedings : ... Annual International

VOLUME: 4

Page Numbers: 3640-3

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ISSN: 1557-170X

DAY: 6

MONTH: 02

YEAR: 2005

Study of a chaotic olfactory neural network model and its applications on pattern classification. Information

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LANGUAGE: eng

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Grant and Affiliation Information for Study of a chaotic olfactory neural network model and its applications on pattern classification.

AFFILIATION: Dept. of Biomed. Eng., Zhejiang Univ., Hangzhou.

Country: United States

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MEDLINETA: Conf Proc IEEE Eng Med Biol So

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