Simulation and determination of optimum conditions of pervaporative dehydration of isopropanol process using synthesized PVA-APTEOS/TEOS nanocomposite membranes by means of expert systems

Journal of Membrane Science

Volumn 379, Issue 1-2, 2011, Pages 224-232

  Rezakazemi, Mashallah ^a   Razavi, Saeedeh ^a   Mohammadi, Toraj ^a   Nazari, Ali Ghafari ^b  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b Pars Koral Ghomes Co   (Iran)

Author keywords

Artificial neural network; Nanocomposite membrane; Pervaporation; Simulated annealing

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BAYESIAN REGULARIZATION; EXPERIMENTAL DATA; FEED TEMPERATURE; ISO-PROPANOLS; MEMBRANE PERFORMANCE; MODEL FINDING; MODEL PREDICTION; NANOCOMPOSITE MEMBRANE; NANOCOMPOSITE MEMBRANES; OPTIMUM CONDITIONS; OUTPUT LAYER; PERVAPORATION SEPARATION INDEX; PERVAPORATIVE DEHYDRATION; TRAINING METHODS; WATER CONCENTRATIONS;

COMPUTER SIMULATION; DEHYDRATION; DEWATERING; EVAPORATION; EXPERT SYSTEMS; FORECASTING; MEMBRANES; NANOCOMPOSITES; NANOPARTICLES; NEURAL NETWORKS; PERVAPORATION; WATER CONTENT;

SIMULATED ANNEALING;

2 PROPANOL; NANOCOMPOSITE; NANOPARTICLE; POLYVINYL ALCOHOL; TETRAETHOXYSILANE; WATER;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; CONCENTRATION (PARAMETERS); EXPERT SYSTEM; PERVAPORATION; PREDICTION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; SAMPLING; SIMULATION; SYNTHESIS; TEMPERATURE;

EID: 79960646725     PISSN: 03767388     EISSN: 18733123     Source Type: Journal    
DOI: 10.1016/j.memsci.2011.05.070     Document Type: Article

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