Prediction of nitrophenol-type compounds using chemometrics and spectrophotometry

Analytical Biochemistry

Volumn 405, Issue 2, 2010, Pages 184-191

  Gao, Ling ^a   Ren, Shouxin ^a  

^a INNER MONGOLIA UNIVERSITY   (China)

Author keywords

Chemometrics; Elman recurrent neural network; Least square support vector machines; Nitrophenol type compounds; Wavelet packet transform

Indexed keywords

PHENOLS; QUADRATIC PROGRAMMING; RECURRENT NEURAL NETWORKS; REGRESSION ANALYSIS; SPECTROPHOTOMETRY; SUPPORT VECTOR MACHINES; WAVELET ANALYSIS; WAVELET TRANSFORMS;

CHEMOMETRICS; ELMAN RECURRENT NEURAL NETWORK; LEAST SQUARE SUPPORT VECTOR MACHINES; NITROPHENOLS; WAVELET PACKET TRANSFORMS;

LEAST SQUARES APPROXIMATIONS;

NITROPHENOL;

ANALYTICAL ERROR; ARTICLE; CHEMOMETRICS; COMPARATIVE STUDY; LEARNING ALGORITHM; MATHEMATICAL MODEL; MULTIPLE LINEAR REGRESSION ANALYSIS; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; PRIORITY JOURNAL; SPECTROPHOTOMETER; SPECTROPHOTOMETRY; SUPPORT VECTOR MACHINE;

EID: 77955586793     PISSN: 00032697     EISSN: 10960309     Source Type: Journal    
DOI: 10.1016/j.ab.2010.06.032     Document Type: Article

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