Prediction of sugar yields during hydrolysis of lignocellulosic biomass using artificial neural network modeling

Bioresource Technology

Volumn 188, Issue , 2015, Pages 128-135

  Vani, Sankar ^a   Sukumaran, Rajeev Kumar ^a   Savithri, Sivaraman ^a  

^a REGIONAL RESEARCH LABORATORY CSIR   (India)

Author keywords

Artificial neural network modeling; Biofuel; Biomass hydrolysis; Biomass loading; Particle size

Indexed keywords

BIOFUELS; HYDROLYSIS; MASS TRANSFER; NEURAL NETWORKS; PARTICLE SIZE;

ARTIFICIAL NEURAL NETWORK MODELING; BIOMASS HYDROLYSIS; BIOMASS LOADING; HYDROLYSIS CONDITIONS; HYDROLYSIS PROCESS; LIGNOCELLULOSIC BIOMASS; SUBSTRATE PARTICLES; SUGAR CONCENTRATION;

BIOMASS;

ALCOHOL; ALKALI; CARBOHYDRATE; CELLULASE; LIGNIN; LIGNOCELLULOSE;

ARTIFICIAL NEURAL NETWORK; BIOMASS; CHEMISTRY; FERMENTATION; HYDROLYSIS; ORYZA; PARTICLE SIZE; REPRODUCIBILITY;

ALKALIES; BIOMASS; CARBOHYDRATES; CELLULASE; ETHANOL; FERMENTATION; HYDROLYSIS; LIGNIN; NEURAL NETWORKS (COMPUTER); ORYZA; PARTICLE SIZE; REPRODUCIBILITY OF RESULTS;

EID: 84940000643     PISSN: 09608524     EISSN: 18732976     Source Type: Journal    
DOI: 10.1016/j.biortech.2015.01.083     Document Type: Article

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