Improving the prediction model of protein in milk powder using GA-PLS combined with PC-ANN arithmetic

Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis

Volumn 29, Issue 7, 2009, Pages 1818-1821

  Sun, Qian ^a   Wang, Jia Hua ^a   Han, Dong Hai ^a  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

Author keywords

GA PLS; Milk powder; Model accuracy; NIRS; PC ANN; Protein

Indexed keywords

GA-PLS; MILK POWDER; MODEL ACCURACY; NIRS; PC-ANN;

BACKPROPAGATION; CURVE FITTING; DAIRY PRODUCTS; INFRARED DEVICES; INFRARED TRANSMISSION; NEURAL NETWORKS; POWDERS; PRINCIPAL COMPONENT ANALYSIS; RAPID SOLIDIFICATION;

GENETIC ALGORITHMS;

MILK PROTEIN;

ALGORITHM; ARTICLE; ARTIFICIAL MILK; ARTIFICIAL NEURAL NETWORK; CHEMISTRY; POWDER; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; LEAST-SQUARES ANALYSIS; MILK PROTEINS; MILK SUBSTITUTES; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); POWDERS; PRINCIPAL COMPONENT ANALYSIS;

EID: 67650076522     PISSN: 10000593     EISSN: None     Source Type: Journal    
DOI: 10.3964/j.issn.1000-0593(2009)07-1818-04     Document Type: Article

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