Jun Hu, Zhen Xu, Maopeng Li, Yande Liu. Determination of Melamine Content in Milk Powder Based on Neural Network Algorithm and Terahertz Spectrum Detection[J]. Laser & Optoelectronics Progress, 2020, 57(22): 223001
- Laser & Optoelectronics Progress
- Vol. 57, Issue 22, 223001 (2020)
Fig. 1. Topology structure of BPNN
Fig. 2. Architecture of GRNN
Fig. 3. Terahertz absorbance of melamine adulterated milk powder samples with different mass concentrations
Fig. 4. Refractive index spectra of pure milk powder and pure melamine, and refractive index spectra of mixed samples. (a) Refractive index spectra of pure milk powder and pure melamine; (b) refractive index spectra of mixed samples
Fig. 5. Optimized results of number of input vectors and number of hidden layers for BPNN
Fig. 6. Predicted accuracy comparison of GRNN model with different numbers of input vectors
Fig. 7. Predicted accuracy comparison of GRNN model with different spread values
Fig. 8. Predicted results of BPNN and GRNN models for mass concentration of melamine
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Table 1. True value distribution of modeling and prediction datasets of melamine doped milk powder with different mass concentrations
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Table 2. Results of correction processing for THz absorbance of melamine doped milk powder
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