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Link to original content: https://doi.org/10.1007/978-3-540-87732-5_19
Discrimination of Reconstructed Milk in Raw Milk by Combining Near Infrared Spectroscopy with Biomimetic Pattern Recognition | SpringerLink
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Discrimination of Reconstructed Milk in Raw Milk by Combining Near Infrared Spectroscopy with Biomimetic Pattern Recognition

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Advances in Neural Networks - ISNN 2008 (ISNN 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5263))

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Abstract

A new method for discriminating reconstructed milk in raw milk is proposed by combining NIRS (Near Infrared Spectroscopy) with the theory model BPR (Biomimetic Pattern Recognition). In order to compare its discrimination performance, we also carry out experiments by using a traditional method combining near infrared spectroscopy with DA (Discrimination Analysis). The results indicate that the accuracy of detection is 98.3% using the new method; while 87.5% using the traditional method. Comparison results show that the proposed new method is superior to the traditional method and the combination of NIRS with BPR has good potential to detect adulteration of raw milk with reconstructed milk.

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References

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Author information

Authors and Affiliations

  1. College of Information and Electrical Engineering, China Agricultural University, Beijing, China

    Ming Sun, Dong An, Yaoguang Wei, Jibo Si & Longsheng Fu

  2. Henan Institute of Science and Technology,  , Xinxiang, China

    Qigao Feng

Authors
  1. Ming Sun
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  2. Qigao Feng
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  3. Dong An
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  4. Yaoguang Wei
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  5. Jibo Si
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  6. Longsheng Fu
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghu University, 100084, Beijing, China

    Fuchun Sun

  2. Institute TAMS (Technical Aspects of Multimodal Systems), department of Informatics, University of Hamburg, Vogt-Koelln-Straße 30, 22527, Hamburg, Germany

    Jianwei Zhang

  3. Intel China Research Center, 8/F, Peking University, Department of Machine Intelligence, 100871, Beijing, China

    Ying Tan

  4. Department of Mathematics, Southeast University, 210096, Nanjing, China

    Jinde Cao

  5. Departamento de Control Automático, CINVESTAV-IPN, A.P. 14-740, Av.IPN 2508, 07360, México D.F., México

    Wen Yu

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© 2008 Springer-Verlag Berlin Heidelberg

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Sun, M., Feng, Q., An, D., Wei, Y., Si, J., Fu, L. (2008). Discrimination of Reconstructed Milk in Raw Milk by Combining Near Infrared Spectroscopy with Biomimetic Pattern Recognition. In: Sun, F., Zhang, J., Tan, Y., Cao, J., Yu, W. (eds) Advances in Neural Networks - ISNN 2008. ISNN 2008. Lecture Notes in Computer Science, vol 5263. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87732-5_19

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  • DOI: https://doi.org/10.1007/978-3-540-87732-5_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87731-8

  • Online ISBN: 978-3-540-87732-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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