Just-in-time kernel learning with adaptive parameter selection for soft sensor modeling of batch processes

Industrial and Engineering Chemistry Research

Volumn 51, Issue 11, 2012, Pages 4313-4327

  Liu, Yi ^a   Gao, Zengliang ^a   Li, Ping ^b   Wang, Haiqing ^c  

^a ZHEJIANG UNIVERSITY OF TECHNOLOGY   (China)

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

^c CHINA UNIVERSITY OF PETROLEUM   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE BIOMASS; ADAPTIVE PARAMETERS; BATCH PROCESS; CROSS VALIDATION; FED-BATCH FERMENTATION; JUST IN TIME; JUST-IN-TIME LEARNING; KERNEL LEARNING; KERNEL PARAMETER; LOW COMPUTATIONAL LOADS; MODELING PROCEDURE; NON-LINEARITY; ONLINE MODELING; RECURSIVE LEAST SQUARES; SIMILARITY FACTORS; SOFT SENSORS; SOFT-SENSOR MODELING; VARIATION CHARACTERISTICS;

FERMENTATION; RECOMBINANT PROTEINS; SENSORS;

BATCH DATA PROCESSING;

EID: 84863357539     PISSN: 08885885     EISSN: 15205045     Source Type: Journal    
DOI: 10.1021/ie201650u     Document Type: Article

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