Back Propagation-Artificial Neural Network Model for Prediction of the Quality of Tea Shoots through Selection of Relevant Near Infrared Spectral Data via Synergy Interval Partial Least Squares

Analytical Letters

Volumn 46, Issue 1, 2013, Pages 184-195

  Wang, Shengpeng ^a   Zhang, Zhengzhu ^a   Ning, Jingming ^a   Ren, Guangxin ^a   Yan, Shouhe ^b   Wan, Xiaochun ^a  

^a ANHUI AGRICULTURAL UNIVERSITY   (China)

^b UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

Author keywords

Back propagation artificial neural network; Near infrared spectroscopy; Principal component analysis; Quality index; Synergy interval partial least squares; Tea

Indexed keywords

EID: 84871528231     PISSN: 00032719     EISSN: 1532236X     Source Type: Journal    
DOI: 10.1080/00032719.2012.706848     Document Type: Article

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