Neural networks as models for waste treatment systems have been studied. A brief summary about the neural network approach and its application to two case studies have been discussed. The study shows that with both long series and short series of data on waste treatment processes, the neural networks have produced comparable results. Neural network models are robust and provide good predictions for the performance of the waste treatment systems. These neural network models appear to provide a promising alternative for waste treatment systems modelling.