Adaptive local learning based least squares support vector regression with application to online modeling for fermentation processes

Huagong Xuebao/Journal of Chemical Industry and Engineering (China)

Volumn 59, Issue 8, 2008, Pages 2052-2057

  Liu, Yi ^a   Wang, Haiqing ^a   Li, Ping ^a  

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

Author keywords

Adaptive local learning; Fast leave one out; Fermentation processes; Least squares support vector regression; Online modeling

Indexed keywords

BIOCHEMICAL ENGINEERING; BIOMASS; CURVE FITTING; FOOD PROCESSING; GEODESY; KETONES; LEAST SQUARES APPROXIMATIONS; PROCESS CONTROL; RENEWABLE ENERGY RESOURCES; VECTORS;

ACTIVE BIOMASS; ADAPTIVE LOCAL LEARNING; ADAPTIVE MODEL SELECTION; DISTANCE MEASURES; FAST LEAVE-ONE-OUT; FED BATCHES; FERMENTATION PROCESSES; LEAST SQUARES SUPPORT VECTOR REGRESSION; LEAVE-ONE-OUT CRITERION; LOCAL LEARNING; MODEL PARAMETERS; MODELING METHODS; MULTI-INPUT MULTI-OUTPUT; ON-LINE MODELLING; ONLINE MODELING; PRESENT METHOD;

FERMENTATION;

EID: 50049088279     PISSN: 04381157     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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