Progress in bionic information processing techniques for an electronic nose based on olfactory models

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• 作者：Guang Li (1)
  Jun Fu (2)
  Jia Zhang (3)
  JunBao Zheng (4)
  
• 关键词：artificial olfaction ; olfactory model ; pattern recognition ; electronic nose ; bionics
• 刊名：Chinese Science Bulletin
• 出版年：2009
• 出版时间：February 2009
• 年：2009
• 卷：54
• 期：4
• 页码：521-534
• 全文大小：985KB
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• 作者单位：Guang Li (1)
  Jun Fu (2)
  Jia Zhang (3)
  JunBao Zheng (4)
  
  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
  
• ISSN：1861-9541

文摘

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.