Prediction of Wastewater Treatment Plant Using Genetic Algorithm

A prediction of the wastewater treatment plant (WWTP) using a genetic algorithm based on historical data. In Iran, the majority of treated wastewater is used in agriculture.As a result, using waste water with poor quality attributes might be hazardous to one's health. The effectiveness of the neuralnetwork model in predicting performance was investigated in this study. To find relationships in the data, exploratory data analysis was employed and evaluated at a dependency level. The neural network models' proper architecture was identified through a series of training and testing stages. The ANNbased models were discovered to be a useful and reliable tool for predicting WWTP performance. The activated sludge methodwill be considered as a replacement for the semi-mechanical treatment system.