DocumentCode
1622330
Title
Study of A Chaotic Olfactory Neural Network Model and Its Applications on Pattern Classification
Author
Le Wang ; Li, Guang ; Liu, Xi ; Baojun Wang ; Freeman, W.J.
Author_Institution
Dept. of Biomed. Eng., Zhejiang Univ., Hangzhou
fYear
2006
Firstpage
3640
Lastpage
3643
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 KIII model can be used for various area of pattern classification efficiently
Keywords
chaos; chemioception; electroencephalography; medical signal processing; neural nets; pattern classification; K set model; KIII model; biological olfactory system; brain activity; chaotic olfactory neural network model; pattern classification; pattern recognition; signal processing; Biological neural networks; Biological system modeling; Biomedical engineering; Biomedical signal processing; Brain modeling; Chaos; Neural networks; Neurons; Olfactory; Pattern classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location
Shanghai
Print_ISBN
0-7803-8741-4
Type
conf
DOI
10.1109/IEMBS.2005.1617270
Filename
1617270
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