Artificial neural network and regression coupled genetic algorithm to optimize parameters for enhanced xylitol production by Debaryomyces nepalensis in bioreactor

Biochemical Engineering Journal

Volumn 120, Issue , 2017, Pages 136-145

  Pappu, Sharon Mano J ^a   Gummadi, Sathyanarayana N ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

Author keywords

Artificial neural network; Genetic algorithm; Optimization; Regression analysis; Xylitol

Indexed keywords

BIOMASS; FERMENTATION; FORECASTING; GENETIC ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION; PARAMETER ESTIMATION; SUGAR SUBSTITUTES;

ARTIFICIAL NEURAL NETWORK MODELS; FERMENTATIVE PROCESS; MULTI-LAYERED FEED-FORWARD NEURAL NETWORKS; NEURAL NETWORK MODEL; OPTIMIZATION ABILITY; OPTIMIZATION METHOD; PREDICTION ACCURACY; XYLITOL;

REGRESSION ANALYSIS;

REDUCED NICOTINAMIDE ADENINE DINUCLEOTIDE; XYLITOL;

AERATION; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BATCH FERMENTATION; BIOMASS; BIOMASS PRODUCTION; BIOREACTOR; DEBARYOMYCES; DEBARYOMYCES NEPALENSIS; FERMENTATION OPTIMIZATION; GAS FLOW; GENETIC ALGORITHM; NONHUMAN; OXYGEN SUPPLY; PH; PREDICTION; PRIORITY JOURNAL; REGRESSION ANALYSIS; RESPIRATORY CHAIN; SUBSTRATE CONCENTRATION;

EID: 85010781177     PISSN: 1369703X     EISSN: 1873295X     Source Type: Journal    
DOI: 10.1016/j.bej.2017.01.010     Document Type: Article

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