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Artificial neural network approach for predicting reverse osmosis desalination plants performance in the Gaza Strip

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Al-Azhar University – Gaza
Aish A.M.; Zaqoot H.A.; Abdeljawad S.M.
Aish, Adnan M. (36343458500); Zaqoot, Hossam A. (35724929200); Abdeljawad, Samaher M. (56596790700)
36343458500; 35724929200; 56596790700
2015
Desalination
Artificial neural network approach for predicting reverse osmosis desalination plants performance in the Gaza Strip
367
240
247
Elsevier
Institute of Water and Environment, Department of Geology, Al Azhar University, P.O. Box 1277, Gaza Strip, Palestine; Environment Quality Authority (Palestinian Authority), Gaza Strip, Palestine; Ministry of National Economy (Palestinian Authority), Gaza Strip, Palestine
Aish A.M., Institute of Water and Environment, Department of Geology, Al Azhar University, P.O. Box 1277, Gaza Strip, Palestine; Zaqoot H.A., Environment Quality Authority (Palestinian Authority), Gaza Strip, Palestine; Abdeljawad S.M., Ministry of National Economy (Palestinian Authority), Gaza Strip, Palestine
89
10.1016/j.desal.2015.04.008
Artificial neural network; Gaza; MLP; Permeate flowrate; Prediction; RBF; TDS
Gaza Strip; Occupied Territories; Desalination; Forecasting; Neural networks; Potable water; Radial basis function networks; Reverse osmosis; Water; Water quality; Artificial neural network approach; Desalination facilities; Gaza; MLP; Radial basis function neural networks; RBF; Reverse osmosis desalination; TDS; artificial neural network; desalination; drinking water; osmosis; performance assessment; prediction; waste facility; water quality; water treatment; Multilayer neural networks