A comparison of modeling nonlinear systems with artificial neural networks and partial least squares

Chemometrics and Intelligent Laboratory Systems

Volumn 49, Issue 1, 1999, Pages 91-103

  Hadjiiski, Lubomir ^a   Geladi, Paul ^a   Hopke, Philip ^a  

^a CLARKSON UNIVERSITY   (United States)

Author keywords

Artificial neural networks; Environmental data; Nonlinear models; PLS regression

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CALIBRATION; INFORMATION PROCESSING; INTERMETHOD COMPARISON; MODEL; NONLINEAR SYSTEM; PREDICTION; PRIORITY JOURNAL; REGRESSION ANALYSIS;

EID: 0032768619     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-7439(99)00030-1     Document Type: Article

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