In this work the modeling of the experimental results of a multiple impinging jets cavitation reactor (MIJCR), has performed via the artificial neural networks (ANNs). The MIJCR is an advanced oxidation process reactor that is applied for decolorization of aqueous Rhodamine B solutions using zero valent iron powder as catalyst. The results of various tested ANNs have shown that the mean square error for testing set of data reaches to its lowest value, 2.78E‒5
