Identification of rhubarbs by using NIR spectrometry and temperature-constrained cascade correlation networks

Talanta

Volumn 70, Issue 5, 2006, Pages 1170-1176

  Wang, Fengxia ^a   Zhang, Zhuoyong ^a   Cui, Xiujun ^b   de B Harrington, Peter ^c  

^a CAPITAL NORMAL UNIVERSITY   (China)

^b NORTHEAST NORMAL UNIVERSITY   (China)

^c 136 Clippinger Laboratories   (United States)

Author keywords

Artificial neural network; Identification; Latin partitions; Near infrared spectra; Rhubarb; Temperature constrained cascade correlation networks

Indexed keywords

BACKPROPAGATION; CORRELATION METHODS; IDENTIFICATION (CONTROL SYSTEMS); INFRARED SPECTROSCOPY; NEURAL NETWORKS;

LATIN-PARTITIONS; NEAR-INFRARED SPECTRA; RHUBARB; TEMPERATURE-CONSTRAINED CASCADE CORRELATION NETWORKS;

PLANTS (BOTANY);

EID: 33750606865     PISSN: 00399140     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.talanta.2006.03.008     Document Type: Article

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