This study applies the neurogenetic model, i.e. a hybrid intelligent system combining genetic algorithm (GA) with artificial neural networks (ANN), to accurately predict effluent suspended solids concentrations from an enhanced biological phosphorus removal (EBPR) system under typical diurnal variation of municipal wastewater. Continuous‐flow pilot plant experiments with automatic monitoring and control facilities were performed to assess the model's applicability. The effluent suspended solids concentrations from the experiments closely corresponded to those predicted by the neurogenetic model developed herein.