Artificial neural network modeling and optimization of ultrahigh pressure extraction of green tea polyphenols

Food Chemistry

Volumn 141, Issue 1, 2013, Pages 320-326

  Xi, Jun ^a   Xue, Yujing ^a   Xu, Yinxiang ^a   Shen, Yuhong ^a  

^a SICHUAN UNIVERSITY   (China)

Author keywords

Artificial neural network; Green tea; Polyphenols; Ultrahigh pressure extraction

Indexed keywords

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; ETHANOL; EXTRACTION; GENETIC ALGORITHMS; NETWORK LAYERS; NEURONS; OPTIMIZATION;

ARTIFICIAL NEURAL NETWORK MODELING; COMBINATION OF NEURAL-NETWORK; ERROR BACK PROPAGATION ALGORITHM; EXTRACTION EFFICIENCIES; GREEN TEA; OPTIMUM EXTRACTION CONDITIONS; POLYPHENOLS; ULTRA-HIGH PRESSURE EXTRACTIONS;

NEURAL NETWORKS;

ALCOHOL; GALLIC ACID; POLYPHENOL DERIVATIVE; SINECATECHINS; PLANT EXTRACT; POLYPHENOL;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; DRUG DETERMINATION; DRUG ISOLATION; EXTRACTION; GENETIC ALGORITHM; LEARNING ALGORITHM; LIQUID; MEASUREMENT; NERVE CELL; NONHUMAN; POSITIVE FEEDBACK; PRESSURE; PROCESS OPTIMIZATION; SOLID; TEA; ULTRAHIGH PRESSURE EXTRACTION; ALGORITHM; CAMELLIA SINENSIS; CHEMISTRY; EQUIPMENT; EVALUATION STUDY; FRACTIONATION; ISOLATION AND PURIFICATION; METHODOLOGY; DEVICES; PROCEDURES;

ALGORITHMS; CAMELLIA SINENSIS; CHEMICAL FRACTIONATION; NEURAL NETWORKS (COMPUTER); PLANT EXTRACTS; POLYPHENOLS; PRESSURE;

EID: 84877596876     PISSN: 03088146     EISSN: 18737072     Source Type: Journal    
DOI: 10.1016/j.foodchem.2013.02.084     Document Type: Article

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