Membrane permeate flux and rejection factor prediction using intelligent systems

Backpropagation artificial neural network (BPNN), radial basis function (RBF) and adaptive neuro-fuzzy inference system (ANFIS) were utilized to predict starch removal performance from starchy wastewater using a hydrophilic polyethersulfone membrane with 0.65 μm pore size in a plate and frame homema...

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Veröffentlicht in:	Desalination 2012-01, Vol.284 (4), p.92-99
Hauptverfasser:	Sargolzaei, J., Haghighi Asl, M., Hedayati Moghaddam, A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive neuro-fuzzy inference system (ANFIS) Applied sciences artificial intelligence Artificial neural networks Back propagation Backpropagation neural network (BPNN) Computer simulation desalination Exact sciences and technology Flux fuzzy logic General purification processes Inference Membrane Membranes neural networks neurons Pollution prediction Radial basis function (RBF) Rejection Simulation starch temperature Waste water wastewater Wastewaters Water treatment and pollution
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