Nondestructive Testing of Volatile Oil of <i>Zanthoxylum Bungeanum</i> Based on Hyperspectral Technique and IRIV-FOA-ELM Algorithm

Ranshi Ji; Xiaoyan Chen; Suzhen Liu; Libo Rao; Zhen Wang

doi:10.3788/LOP57.203002

Laser & Optoelectronics Progress, Volume. 57, Issue 20, 203002(2020)

Nondestructive Testing of Volatile Oil of Zanthoxylum Bungeanum Based on Hyperspectral Technique and IRIV-FOA-ELM Algorithm

Ranshi Ji¹, Xiaoyan Chen^2、*, Suzhen Liu¹, Libo Rao¹, and Zhen Wang²

Author Affiliations

¹College of Mechanical and Electrical Engineering, Sichuan Agricultural University, Yaan, Sichuan 625014, China

²College of Information and Engineering, Sichuan Agricultural University, Yaan, Sichuan 625014, China

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Figures & Tables(7)

Fig. 1. Fruit fly optimization algorithm optimized extreme learning machine flowchart

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Fig. 2. Spectra before and after SNVT processing. (a) Before processing (raw spectra); (b) after processing

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Fig. 3. Fitness curve of FOA

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Fig. 4. Comparison of test sets before and after optimization. (a) Before optimization; (b) after optimaization

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Table 1. Statistics of pepper oil content in training set and prediction set
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Table 1. Statistics of pepper oil content in training set and prediction set
Sample Number ofsamples Pepper oil content /(mL·g^-1)
Minimum Maximum Mean Standard deviation
Total 150 0.03 0.08 0.056353 0.011984
Training set 120 0.03 0.08 0.056108 0.012253
Prediction set 30 0.031 0.075 0.057333 0.010978

Table 2. Modeling results of different models based on IRIV

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Table 2. Modeling results of different models based on IRIV

Model	Calibration set		Prediction set
Model	$R_{C}^{2}$	RMSEC	$R_{P}^{2}$	RMSEP
Primitive variables-PLS	0.5714	0.6922	0.4933	0.7565
All variables-PLS	0.6157	0.6702	0.5614	0.7477
IRIV-PLS	0.6732	0.5944	0.6362	0.6524
All variables-ELM(17)	0.7409	0.7219	0.6952	0.8057
IRIV-ELM(17)	0.8547	0.4311	0.6557	0.6059
All variables-ELM(18)	0.8312	0.5872	0.7522	0.6700
IRIV-ELM(18)	0.8522	0.3475	0.8365	0.5737
All variables-ELM(19)	0.8425	0.4840	0.6862	0.5014
IRIV-ELM(19)	0.8446	0.4121	0.6952	0.6688
All variables-ELM(20)	0.8392	0.6126	0.7494	0.6965
IRIV-ELM(20)	0.8546	0.4673	0.7609	0.5994

Table 3. FOA-ELM model results
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Table 3. FOA-ELM model results
Model Calibration set Prediction set
$R_{C}^{2}$ RMSEC $R_{P}^{2}$ RMSEP
All variables-FOA-ELM(18) 0.7573 0.5170 0.7004 0.5939
IRIV-FOA-ELM(18) 0.8792 0.3323 0.8659 0.3621

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Ranshi Ji, Xiaoyan Chen, Suzhen Liu, Libo Rao, Zhen Wang. Nondestructive Testing of Volatile Oil of Zanthoxylum Bungeanum Based on Hyperspectral Technique and IRIV-FOA-ELM Algorithm[J]. Laser & Optoelectronics Progress, 2020, 57(20): 203002

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