Laser & Optoelectronics Progress, Volume. 56, Issue 4, 043003(2019)

Raman Spectroscopic Classification of Foodborne Pathogenic Bacteria Based on PCA-Stacking Model

Rujin Shi1, Fanzeng Xia2, Wandan Zeng1、*, and Han Qu3
Author Affiliations
  • 1 School of Computer Science and Information Engineering, Shanghai Institute of Technology, Shanghai 201418, China
  • 2 College of Software, Jilin University, Changchun, Jilin 130122, China
  • 3 Jilin Provincial Key Laboratory for Disease Prevention and Control, Institution of Military Veterinary, Academy of Military Medical Sciences, Changchun, Jilin 130122, China
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    Figures & Tables(7)
    Original Raman spectra
    Preprocessing effects of Raman spectra. (a) Normalization; (b) smoothing and denoising; (c) background deduction
    Preto chart of principle component
    Feature distribution in 3D space
    Demonstration of SVM
    Flow chart of Stacking algorithm
    • Table 1. Flow chart of Stacking algorithm

      View table

      Table 1. Flow chart of Stacking algorithm

      Stacking algorithm
      Input: Training data D={xi,yi}i=1m (xi∈Rn,yi∈{0,1})Output: An ensemble classifier H1: Step 1: Learn first-level classifiers2: for t←1 to T do3: Learn a base classifier ht based on D4: end for5: Step 2: Construct new data sets from D6: for i←1 to m do7: Construct a new data set that contains Dh={x'i,yi} where x'i={h1(xi),…,hT(xi)}8: end for9: Step 3: Learn a second-level classifier10: Learn a new classifier h' based on the newly constructed data set11: return H(x)
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    Rujin Shi, Fanzeng Xia, Wandan Zeng, Han Qu. Raman Spectroscopic Classification of Foodborne Pathogenic Bacteria Based on PCA-Stacking Model[J]. Laser & Optoelectronics Progress, 2019, 56(4): 043003

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    Paper Information

    Category: Spectroscopy

    Received: Jun. 27, 2018

    Accepted: Sep. 6, 2018

    Published Online: Jul. 31, 2019

    The Author Email: Wandan Zeng (zengwd@sit.edu.cn)

    DOI:10.3788/LOP56.043003

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