Semisupervised Bayesian method for soft sensor modeling with unlabeled data samples

AIChE Journal

Volumn 57, Issue 8, 2011, Pages 2109-2119

  Ge, Zhiqiang ^a   Song, Zhihuan ^a  

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

Author keywords

Bayesian regularization; Probabilistic; Semisupervised learning; Soft sensor modeling

Indexed keywords

BAYESIAN METHODS; BAYESIAN REGULARIZATION; CHEMICAL PROCESS; CONTROLLED VARIABLES; DATA SETS; INPUT AND OUTPUTS; INPUT DATAS; OUTPUT DATA; OUTPUT VARIABLES; PROBABILISTIC; SEMI-SUPERVISED; SEMI-SUPERVISED LEARNING; SEMI-SUPERVISED METHOD; SOFT SENSORS; SOFT-SENSOR MODELING; UNLABELED DATA;

BAYESIAN NETWORKS; INDUSTRIAL APPLICATIONS; QUALITY CONTROL;

SENSORS;

EID: 79960245463     PISSN: 00011541     EISSN: 15475905     Source Type: Journal    
DOI: 10.1002/aic.12422     Document Type: Article

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