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
For quick, nondestructive, and cheap testing of the volatile oil of Zanthoxylum bungeanum, Chinese prickly ash samples were selected as the experimental object and collected from Hanyuan County for hyperspectral analysis in the 400-1000-nm wavelength. Standard normal variable transformation (SNVT)was used to preprocess the spectral data and the method of iteratively retains informative variables (IRIV) was used to extract the feature variables. The regression model of extreme learning machine (ELM) was established. The following results were obtained using the model: the coefficient of determination (
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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
Category: Spectroscopy
Received: Jan. 21, 2020
Accepted: Feb. 19, 2020
Published Online: Sep. 27, 2020
The Author Email: Chen Xiaoyan (chenxy@sicau.edu.cn)