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Near-infrared-based Identification of Walnut Oil Authenticity

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成果类型:
会议论文
作者:
Zhui HU;Yang CHEN;Xing-xing YANG;Qiang XU;Xiao ZHENG
作者机构:
School of Mechanical Engineering,Wuhan Polytechnic University,Wuhan 430000 China
语种:
中文
关键词:
Near infrared spectroscopy;Walnut oil;Adulteration;Quantitative prediction
年:
2019
页码:
232-235
会议名称:
INTERNATIONAL CONFERENCE ON COMPUTATIONAL MODELING, SIMULATION AND OPTMIZATION (CMSO 2019)(2019年计算建模、仿真与优化国际会议)
会议论文集名称:
INTERNATIONAL CONFERENCE ON COMPUTATIONAL MODELING, SIMULATION AND OPTMIZATION (CMSO 2019)(2019年计算建模、仿真与优化国际会议)论文集
会议时间:
2019-11-24
会议地点:
北京
会议赞助商:
美国DEStech出版社
基金类别:
10.26914/c.cnkihy.2019.056310
机构署名:
本校为第一机构
院系归属:
机械工程学院
摘要:
Near-infrared spectroscopy(NIR) was employed to determine the quality of walnut oil. Multivariate scattering correction(MSC) and combination of standard normal variate and de-trend(SNV-DT) were separately used for preprocessing. Successive projection algorithm(SPA) and combination of competitive adaptive reweighted sampling algorithm and partial least squares method(CARS-PLS) were separately used for extraction of characteristic wavelengths. Particle swarm optimization(PSO) and genetic algorithm(GA) methods were separately used fo...

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