Neural networks: A tool to improve UF plant productivity

Desalination

Volumn 145, Issue 1-3, 2002, Pages 223-231

  Cabassud, M ^a   Delgrange Vincent, N ^b   Cabassud, C ^b   Durand Bourlier, L ^c   Laine J M ^c  

^a LABORATOIRE DE GÉNIE CHIMIQUE   (France)

^b INSA   (France)

^c Ctr Intl Rech Sur l'Eau l'E   (France)

Author keywords

Drinking water production; Fouling; Long term modelling; Predictive control; Ultrafiltration

Indexed keywords

LIQUID MEMBRANES; POTABLE WATER; PRODUCTIVITY; ULTRAFILTRATION;

BACKWASH PROCEDURES;

RECURRENT NEURAL NETWORKS;

DRINKING WATER; FOULING; NEURAL NETWORK; PILOT PLANT; PRODUCTIVITY; ULTRAFILTRATION;

EID: 0037056563     PISSN: 00119164     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0011-9164(02)00416-2     Document Type: Article

References (10)

1. Artificial neural networks: Studies in process modelling and control
2. Elaboration of a neural network system for semi-batch reactor temperature control: An experimental study
3. Multivariable control of a pulsed liquid-liquid extraction column by neural networks
4. Dynamic modelling of crossflow microfiltration using neural networks
5. Application of artificial neural networks for crossflow microfiltration modelling: "black box and semi-physical approaches
6. Simulation of membrane separation by neural networks
7. Neural networks for prediction of ultrafiltration transmembrane pressure - Application to drinking water production
8. Dynamic ultrafiltration of proteins, a neural network approach
9. Neural networks for long-term prediction of fouling and backwash efficiency in ultrafiltration for drinking water production