Performance-driven ensemble learning ICA model for improved non-Gaussian process monitoring

Chemometrics and Intelligent Laboratory Systems

Volumn 123, Issue , 2013, Pages 1-8

  Ge, Zhiqiang ^a   Song, Zhihuan ^a  

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

Author keywords

Bayesian inference; Ensemble learning; Independent component analysis; Performance driven; Process monitoring

Indexed keywords

ARTICLE; BAYESIAN LEARNING; FEASIBILITY STUDY; INDEPENDENT COMPONENT ANALYSIS; LEARNING ALGORITHM; MONTE CARLO METHOD; NORMAL DISTRIBUTION; ONLINE SYSTEM; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROBABILITY; PROCESS MONITORING; RELIABILITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; VALIDATION STUDY;

EID: 84874770366     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2013.02.001     Document Type: Article

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