Artificial neural network

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In this work, removal of acid orange 7 (AO7) by powdered activated carbon, from aqueous solutions with initial concentrations of 150 ppm to 350 ppm and initial pH values of 2.8, 5.8, 8.0 and 10.5 at 25°C was studied. Experiments were done in batch mode and the experimental solutions were agitated pe
Desalination 211 (2007)

The capability of a radial basis function neural network (RBFNN) to predict long-term permeate flux decline in crossflow membrane filtration was investigated. Operating conditions of transmembrane pressure and filtration time along with feed water parameters such as particle radius, solution pH, and
Desalination 192 (2006)

T he presented study demonstrates that the outlined modelling concept for membrane bioreactors could successfully be applied to describe the system behaviour of a pilot-scale wastewater t r e a t m e n t plant, e q u i p p e d with m e m b r a n e f iltration units. In particular, the model describi