A comparative study of just-in-time-learning based methods for online soft sensor modeling

Chemometrics and Intelligent Laboratory Systems

Volumn 104, Issue 2, 2010, Pages 306-317

  Ge, Zhiqiang ^a   Song, Zhihuan ^a  

^a STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

Author keywords

Just in time learning; Least squares support vector regression; Online modeling; Partial least squares; Soft sensor; Support vector regression

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CONCEPTUAL FRAMEWORK; INTERMETHOD COMPARISON; JUST IN TIME LEARNING METHOD; MACHINE LEARNING; NONLINEAR SYSTEM; ONLINE ANALYSIS; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; PRIORITY JOURNAL; QUALITY CONTROL; REGRESSION ANALYSIS; SENSOR; SOFT SENSOR; STATISTICAL MODEL; SUPPORT VECTOR MACHINE;

EID: 78650524009     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2010.09.008     Document Type: Article

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