A STUDY ON A BIONIC PATTERN CLASSIFIER BASED ON OLFACTORY NEURAL SYSTEM
2006 ◽
Vol 16
(08)
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pp. 2425-2434
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Keyword(s):
This paper presents a simulation of a biological olfactory neural system with a KIII set, which is a high-dimensional chaotic neural network. The KIII set differs from conventional artificial neural networks by use of chaotic attractors for memory locations that are accessed by, chaotic trajectories. It was designed to simulate the patterns of action potentials and EEG waveforms observed in electrophysiological experiments, and has proved its utility as a model for biological intelligence in pattern classification. An application to recognition of handwritten numerals is presented here, in which the classification performance of the KIII network under different noise levels was investigated.
2000 ◽
Vol 176
◽
pp. 135-136
1991 ◽
Vol 02
(04)
◽
pp. 331-339
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2010 ◽
Vol 61
(2)
◽
pp. 120-124
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