Artificial neural network based modeling to evaluate methane yield from biogas in a laboratory-scale anaerobic bioreactor

Bioresource Technology

Volumn 217, Issue , 2016, Pages 90-99

  Nair, Vijay V ^a,b   Dhar, Hiya ^a,c   Kumar, Sunil ^a   Thalla, Arun Kumar ^b   Mukherjee, Somnath ^c   Wong, Jonathan W C ^d  

^a NATIONAL ENVIRONMENTAL ENGINEERING RESEARCH INSTITUTE   (India)

^b NATIONAL INSTITUTE OF TECHNOLOGY KARNATAKA   (India)

^c JADAVPUR UNIVERSITY   (India)

^d HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

Author keywords

Anaerobic bioreactor; Artificial neural network; Methane; Optimization; Total volatile solid

Indexed keywords

BACKPROPAGATION; BIOCONVERSION; BIOGAS; BIOREACTORS; FATTY ACIDS; METHANE; MUNICIPAL SOLID WASTE; NEURAL NETWORKS; OPTIMIZATION; VOLATILE FATTY ACIDS;

ANAEROBIC BIOREACTORS; ARTIFICIAL NEURAL-NETWORK BASED MODELING; BIOGAS PRODUCTION; MATLAB ENVIRONMENT; OPTIMIZED CONDITIONS; ORGANIC FRACTION OF MUNICIPAL SOLID WASTES; TOTAL VOLATILE SOLIDS; VOLATILE FATTY ACIDS (VFAS);

ANAEROBIC DIGESTION;

BIOGAS; METHANE; VOLATILE FATTY ACID; BIOFUEL; ORGANIC COMPOUND; SOLID WASTE; WASTE;

ANOXIC CONDITIONS; ARTIFICIAL NEURAL NETWORK; BIOGAS; BIOREACTOR; BIOTECHNOLOGY; GAS PRODUCTION; METHANE; MUNICIPAL SOLID WASTE; OPTIMIZATION; ORGANIC MATTER; PERFORMANCE ASSESSMENT; VOLATILE SUBSTANCE;

ANAEROBIC BIOREACTOR; ANAEROBIC DIGESTION; ANAEROBIC REACTOR; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; GAS CHROMATOGRAPHY; MICROBIAL CONSORTIUM; MOISTURE; NETWORK LEARNING; PH; PRIORITY JOURNAL; THERMAL CONDUCTIVITY; VEGETABLE; ANAEROBIC GROWTH; ANALYSIS; BIOREACTOR; BIOSYNTHESIS; CITY; FOOD; LABORATORY; PRINCIPAL COMPONENT ANALYSIS; SOLID WASTE; WASTE;

ANAEROBIOSIS; BIOFUELS; BIOREACTORS; CITIES; FATTY ACIDS, VOLATILE; FOOD; HYDROGEN-ION CONCENTRATION; LABORATORIES; METHANE; NEURAL NETWORKS (COMPUTER); ORGANIC CHEMICALS; PRINCIPAL COMPONENT ANALYSIS; SOLID WASTE; WASTE PRODUCTS;

EID: 84961233699     PISSN: 09608524     EISSN: 18732976     Source Type: Journal    
DOI: 10.1016/j.biortech.2016.03.046     Document Type: Article

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