Abstract
Derived from biological olfactory systems, an olfactory model entitled KIII was setup. Different from the conventional artificial neural networks, the KIII model works in a chaotic way similar to biological olfactory systems. As one kind of chaotic neural network, KIII network can be used as a general classifier needing much fewer training times in comparison with other artificial neural networks. The experiments to apply the novel neural network to recognition of handwriting numerals, classification of Mandarin spoken digits, recognition of human face and classi- fication of normal and hypoxia EEG have been carried out. Based on KIII models, an application of electronic nose on tea classification was explored. Hopefully, the K set models will make electronic noses more bionically.
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