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

作　　者：LI Guang FU Jun ZHANG Jia ZHENG JunBao 

机构地区：[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

出　　处：《Chinese Science Bulletin》2009年第4期521-534,共14页

基　　金：Supported by the National Creative Research Groups Science Foundation of China (Grant No. 60421002);National Basic Research Programme of China (Grant No. 2004CB720302)

摘　　要：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.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 prop- ties 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.

关 键 词：电子鼻子 嗅觉系统 嗅觉模型 图像识别 仿生学 

分 类 号：TP24[自动化与计算机技术—检测技术与自动化装置] Q811[自动化与计算机技术—控制科学与工程]