Effect of Operating Conditions on PV Performance of PVA Membranes: Experimental and Neural Network Modeling

Separation Science and Technology (Philadelphia)

Volumn 47, Issue 10, 2012, Pages 1472-1484

  Shirazi, Yaser ^a   Farno, Ehsan ^a   Majareh, Hadi Shad ^a   Sadrzadeh, Mohtada ^a   Mohammadi, Toraj ^b   Kasiri, Norollah ^a  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

ANN modeling; feedforward neural network; genetic optimization algorithm; pervaporation; PVA membrane

Indexed keywords

BAYESIAN REGULARIZATION; CROSS LINKING AGENTS; EXPERIMENTAL DATA; FEED COMPOSITIONS; GENETIC OPTIMIZATION ALGORITHM; GLUTARALDEHYDES; HIDDEN LAYERS; IN-SITU; MULTI-LAYERED; MULTI-OBJECTS; NETWORK STRUCTURES; NEURAL NETWORK MODELING; OPERATING CONDITION; OPERATING TEMPERATURE; OPTIMUM NETWORKS; OPTIMUM NUMBER; POLY(VINYL ALCOHOL) MEMBRANES; PV PERFORMANCE; PVA MEMBRANE; TRAINING ALGORITHMS; VACUUM PRESSURE;

ALDEHYDES; ALGORITHMS; EXTRAPOLATION; FEEDFORWARD NEURAL NETWORKS; HYDROCHLORIC ACID; MEMBRANES; PERVAPORATION; REYNOLDS NUMBER;

STRUCTURAL OPTIMIZATION;

EID: 84863814425     PISSN: 01496395     EISSN: 15205754     Source Type: Journal    
DOI: 10.1080/01496395.2011.645262     Document Type: Article

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