Adaptive soft sensor based on online support vector regression and Bayesian ensemble learning for various states in chemical plants

Chemometrics and Intelligent Laboratory Systems

Volumn 137, Issue , 2014, Pages 57-66

  Kaneko, Hiromasa ^a   Funatsu, Kimito ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

Bayes' rule; Degradation; Ensemble learning; Online support vector regression; Process control; Soft sensor

Indexed keywords

ADAPTIVE SOFT SENSOR; ANALYTIC METHOD; ARTICLE; BAYESIAN LEARNING; CALCULATION; CHEMICAL REACTION; INFORMATION SYSTEM; NONLINEAR SYSTEM; ONLINE SUPPORT VECTOR REGRESSION; PLANT; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE STUDY; SENSOR; SUPPORT VECTOR MACHINE;

EID: 84903588321     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2014.06.008     Document Type: Article

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