Comparison of different estimation techniques for biomass concentration in large scale yeast fermentation

ISA Transactions

Volumn 50, Issue 2, 2011, Pages 303-314

  Hocalar, A ^a   Turker M ^a   Karakuzu, C ^b   Yuzgec U ^b  

^a Pakmaya   (Turkey)

^b BILECIK SEYH EDEBALI UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; Asymptotic observer; Biocalorimetry and baker's yeast; Differential evolution; State estimation

Indexed keywords

BIOMASS; EVOLUTIONARY ALGORITHMS; FERMENTATION; METABOLISM; NEURAL NETWORKS; OPTIMIZATION; STATE ESTIMATION;

ASYMPTOTIC OBSERVER; BAKER'S YEAST; BIOMASS CONCENTRATIONS; DIFFERENTIAL EVALUATION; DIFFERENTIAL EVOLUTION; ESTIMATION TECHNIQUES; INDUSTRIAL ENVIRONMENTS; STATE ESTIMATION METHODS;

YEAST;

CARBON DIOXIDE; OXYGEN;

ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BIOMASS; COMPARATIVE STUDY; FERMENTATION; INDUSTRY; KINETICS; METABOLISM; OBSERVER VARIATION; PHYSIOLOGY; REGRESSION ANALYSIS; REPRODUCIBILITY; SACCHAROMYCES CEREVISIAE; YEAST;

ARTIFICIAL INTELLIGENCE; BIOMASS; CARBON DIOXIDE; FERMENTATION; INDUSTRY; KINETICS; LEAST-SQUARES ANALYSIS; NEURAL NETWORKS (COMPUTER); OBSERVER VARIATION; OXYGEN; REPRODUCIBILITY OF RESULTS; SACCHAROMYCES CEREVISIAE; YEASTS;

EID: 79952455843     PISSN: 00190578     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isatra.2010.12.003     Document Type: Article

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