Predicting the process of industrial wastewater treatment using a hybrid intelligent model based on artificial neural network and logistic regression statistical method
Abstract
Today, there are different methods for treatment of wastewaters but due to their high cost and time-consuming features, an alternative precise, low cost; short-time method is always needed. Therefore, in this paper, we tried to employ a hybrid intelligent model based on artificial neural network (ANN) and logistic regression (LR) statistical method for wastewater treatment to predict the performance of malachite green removal from industrial wastewaters. Through comparing the prediction results and analyzed data, it proved that using a hybrid intelligent model based on artificial neural network and logistic regression statistical method is a valuable technique to predict the performance of malachite green removal from industrial wastewaters with high efficiency and minimum error rate.