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

L. Wang, G. Li, X. Liu, B. Wang, W.J. Freeman

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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 Kill model can be used for various area of pattern classification efficiently.
Original languageEnglish
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages3640-3643
Number of pages4
Volume7 VOLS
Publication statusPublished - 1 Jan 2006

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