The Modeling of Petrochemical Wastewater Activated Sludge System and Water Quality Forecast Based on Neural Network

Aiming at the petrochemical wastewater activated sludge system, using the Elman neural network modeling technology, through the improvement structure to improve the dynamic performance of the network, check and repair etc data preprocessing methods, combined with object characteristics selected input variable, construct the neural network model. The simulation results show that the neural network based on the activated sludge system model has good convergence and prediction accuracy, and can meet the control sewage treatment system reliable and stable operation of the engineering application demand.