Mixture semisupervised principal component regression model and soft sensor application

AIChE Journal

Volumn 60, Issue 2, 2014, Pages 533-545

  Ge, Zhiqiang ^a,b   Huang, Biao ^b   Song, Zhihuan ^a  

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

^b UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Mixture probabilistic modeling; Probabilistic principal component regression; Semisupervised modeling; Soft sensor

Indexed keywords

HISTORICAL DATASET; INPUT AND OUTPUTS; MIXTURE PROBABILISTIC MODEL; PRINCIPAL COMPONENT REGRESSION; SEMI-SUPERVISED; SENSING PERFORMANCE; SOFT SENSORS; SUPERVISED METHODS;

MATHEMATICAL MODELS; MIXTURES; REGRESSION ANALYSIS; SENSORS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84892445860     PISSN: 00011541     EISSN: 15475905     Source Type: Journal    
DOI: 10.1002/aic.14270     Document Type: Article

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