A data-driven model for maximization of methane production in a wastewater treatment plant

Water Science and Technology

Volumn 65, Issue 6, 2012, Pages 1116-1122

  Kusiak, Andrew ^a   Wei, Xiupeng ^a  

^a IA United States   (United States)

Author keywords

Data mining algorithms; Methane production maximization; Neural networks; Particle swarm optimization; Wastewater treatment plant

Indexed keywords

DATA MINING ALGORITHM; DATA-DRIVEN APPROACH; DATA-DRIVEN MODEL; DETENTION TIME; METHANE PRODUCTION; MODEL CONSTRUCTION; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; PARTICLE SWARM; PARTICLE SWARM OPTIMIZATION ALGORITHM; PH VALUE; PREDICTION MODEL; TOTAL SOLIDS; VOLATILE SOLID; WASTEWATER TREATMENT PLANT; WASTEWATER TREATMENT PLANTS;

ALGORITHMS; DATA MINING; MATHEMATICAL MODELS; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); SEWAGE PUMPING PLANTS; WATER TREATMENT PLANTS;

METHANE;

METHANE;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; DATA MINING; METHANE; NUMERICAL MODEL; OPTIMIZATION; PH; RESEARCH WORK; WASTEWATER; WATER TREATMENT;

ALGORITHM; ANAEROBIC DIGESTION; ANALYTIC METHOD; ARTICLE; DATA ANALYSIS; PARTICLE SWARM OPTIMIZATION; PH; SOLID; VALIDATION PROCESS; WASTE WATER TREATMENT PLANT; WATER TEMPERATURE;

ALGORITHMS; ANAEROBIOSIS; METHANE; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); REPRODUCIBILITY OF RESULTS; WASTE DISPOSAL, FLUID;

EID: 84859301508     PISSN: 02731223     EISSN: None     Source Type: Journal    
DOI: 10.2166/wst.2012.953     Document Type: Article

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