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

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.