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Tea Classification Based on Artificial Olfaction Using Bionic Olfactory Neural Network

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Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3972))

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Abstract

Based on the research on mechanism of biological olfactory system, we constructed a K-set, which is a novel bionic neural network. Founded on the groundwork of K0, KI and KII sets, the KIII set in the K-set hierarchy simulates the whole olfactory neural system. In contrast to the conventional artificial neural networks, the KIII set operates in nonconvergent ‘chaotic’ dynamical modes similar to the biological olfactory system. In this paper, an application of electronic nose-brain for tea classification using the KIII set is presented and its performance is evaluated in comparison with other methods.

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Authors and Affiliations

  1. Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, P.R. China

    Xinling Yang, Jun Fu & Zhengguo Lou

  2. Department of Optical Engineering, Zhejiang University, Hangzhou, 310027, P.R. China

    Liyu Wang

  3. National Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310027, P.R. China

    Guang Li

  4. Division of Neurobiology, University of California at Berkeley, LSA 142, Berkeley, CA, 94720-3200, USA

    Walter J. Freeman

Authors
  1. Xinling Yang
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  2. Jun Fu
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  3. Zhengguo Lou
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  4. Liyu Wang
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  5. Guang Li
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  6. Walter J. Freeman
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd., 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2006 Springer-Verlag Berlin Heidelberg

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Yang, X., Fu, J., Lou, Z., Wang, L., Li, G., Freeman, W.J. (2006). Tea Classification Based on Artificial Olfaction Using Bionic Olfactory Neural Network. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3972. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760023_50

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  • DOI: https://doi.org/10.1007/11760023_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34437-7

  • Online ISBN: 978-3-540-34438-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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