Application of Artificial Neural Network (ANN) for the Prediction of Perchlorate Wastewater Treatment

The system was modeled, having employed Artificial Nerve Network (ANN) and the studies about simulating the assumed sewage treatment plant made through process with SPSS software and the experience gained over time. The results yielded for the noted treatment plant were analyzed by developed nerve network model. In the modeling of the assumed sewage treatment plant, the highest correlation coefficient of 0.980 was obtained. The most appropriate nerve network model for value R equaled 0.898.Bearing percentage of errors in the input data, it is indicative of an approximately high precision.

Keywords:

Perchlorate , Anaerobic - Aerobic reactor , Artificial neural networks , Simulation