Part II: Prediction of the dialysis process performance using Artificial Neural Network (ANN) Original Research Article

In the present research, an experimental based Artificial Neural Network (ANN) model is developed to describe the dialysis process performance under different operating conditions in the charged and neutral states of dialysis. The transfer behavior of charged micelles through the charged and neutral conductive membranes was investigated using this model. The parameters are highly interconnected in this system. Moreover, using the available deterministic models for tracking the process performance and the switch of the diffusion mechanisms is not completely realizable. Therefore, using neural networks is highlighted as a recommended model for this type of situations. The concentration gradient, absolute feed concentration and membrane electrical charge are the main parameters which affect the process performance.