Progress in bionic information processing techniques for an electronic nose based on olfactory models |
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Authors: | Guang Li Jun Fu Jia Zhang JunBao Zheng |
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Institution: | (1) State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310027, China;(2) Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China;(3) Sir Run Run Shaw Hospital, Affiliated with the School of Medicine, Zhejiang University, Hangzhou, 310016, China;(4) Faculty of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, 310018, China |
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Abstract: | As a novel bionic analytical technique, an electronic nose, inspired by the mechanism of the biological olfactory system and
integrated with modern sensing technology, electronic technology and pattern recognition technology, has been widely used
in many areas. Moreover, recent basic research findings in biological olfaction combined with computational neuroscience promote
its development both in methodology and application. In this review, the basic information processing principle of biological
olfaction and artificial olfaction are summarized and compared, and four olfactory models and their applications to electronic
noses are presented. Finally, a chaotic olfactory neural network is detailed and the utilization of several biologically oriented
learning rules and its spatiotemporal dynamic propties for electronic noses are discussed. The integration of various phenomena
and their mechanisms for biological olfaction into an electronic nose context for information processing will not only make
them more bionic, but also perform better than conventional methods. However, many problems still remain, which should be
solved by further cooperation between theorists and engineers.
Supported by the National Creative Research Groups Science Foundation of China (Grant No. 60421002) and National Basic Research
Programme of China (Grant No. 2004CB720302) |
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Keywords: | artificial olfaction olfactory model pattern recognition electronic nose bionics |
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