Application of terahertz fusion spectrum combined with improved fused lasso model in identification of transgenic rapeseed oil

Table 1. Information of experimental sample
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Table 1. Information of experimental sample
Symbol Brand Type Training set Testing set
Non-GMO1 Daodaoquan non transgenic 40 20
Non-GMO2 Jinlongyu non transgenic 40 20
GMO1 Daodaoquan transgenic 40 20
GMO2 Jinlongyu transgenic 40 20

Table 2. Feature selection results of each classification model

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Table 2. Feature selection results of each classification model

Model	Spectral data	Dimension	Number of variables for feature selection
Model	Spectral data	Dimension	C₁	C₂	C₃	C₄	C₅	C₆
Fused Lasso	Single spectrum	307	277	182	173	125	165	207
Fused Lasso	Fusion spectrum	92	44	38	40	32	41	54
BO-Fused Lasso	Single spectrum	307	255	158	160	123	150	182
BO-Fused Lasso	Fusion spectrum	92	90	83	82	84	85	92

Table 3. Results of each classification model

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Table 3. Results of each classification model

Model	Spectral data	Parameters	Training set accuracy/%	Testing set accuracy/%	Running time/s
Fused Lasso	Single spectrum	λ₁=0.071 8， λ₂=0.082 5	90.63	87.50	294
Fused Lasso	Fusion spectrum	λ₁=0.217 6， λ₂=0.041 2	93.75	92.50	149
BO-Fused Lasso	Single spectrum	λ₁=0.079 8， λ₂=0.249 0	91.88	87.50	40
BO-Fused Lasso	Fusion spectrum	λ₁=0.037 2， λ₂=0.032 9	96.88	95.00	31

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Tao CHEN, Guangchong XIE, Shaorong ZHANG. Application of terahertz fusion spectrum combined with improved fused lasso model in identification of transgenic rapeseed oil[J]. Optics and Precision Engineering, 2024, 32(20): 3006

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