Prediction of CO2 loading capacity of chemical absorbents using a multi-layer perceptron neural network

Fluid Phase Equilibria

Volumn 354, Issue , 2013, Pages 6-11

  Bastani, D ^a   Hamzehie, M E ^a   Davardoost, F ^a   Mazinani, S ^b   Poorbashiri, A ^a  

^a SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

^b HAKIM SABZEVARI UNIVERSITY   (Iran)

Author keywords

Chemical absorbents; CO2 loading capacity; CO2 solubility; Multi layer perceptron neural network

Indexed keywords

BETTER PERFORMANCE; CARBON DIOXIDE LOADINGS; EXPERIMENTAL DATUM; EXPERIMENTAL VALUES; LOADING CAPACITIES; MULTI LAYER PERCEPTRON; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; NETWORK TRAINING;

ABSORPTION; CARBON DIOXIDE; FORECASTING; NETWORK PERFORMANCE; NEURAL NETWORKS; REGRESSION ANALYSIS; SOLUBILITY; SOLUTIONS;

LOADING;

EID: 84879828256     PISSN: 03783812     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fluid.2013.05.017     Document Type: Article

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