Spectroscopy-based food classification with extreme learning machine

Chemometrics and Intelligent Laboratory Systems

Volumn 139, Issue , 2014, Pages 42-47

  Zheng, Wenbin ^a,b   Fu, Xiaping ^a   Ying, Yibin ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b CHINA JILIANG UNIVERSITY   (China)

Author keywords

Classification; Extreme learning machine; Food; Spectroscopy

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; CHEMOMETRICS; CLASSIFICATION ALGORITHM; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; EXTREME LEARNING MACHINE; FOOD ANALYSIS; FOOD CLASSIFICATION; INFRARED SPECTROSCOPY; INTERMETHOD COMPARISON; K NEAREST NEIGHBOR; MEASUREMENT ACCURACY; PARTIAL LEAST SQUARES REGRESSION; REGRESSION ANALYSIS; SPECTROSCOPY; SUPPORT VECTOR MACHINE;

EID: 84907817958     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2014.09.015     Document Type: Article

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