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Wastewater effluent prediction is very important in wastewater treatment. The process of wastewater treatment is complicated and nonlinear. This paper combines fuzzy-rough sets method with RBF neural networks to predict wastewater important outputs including BOD and COD. In order to select important influence data and reduce influence noise, fuzzy-rough sets method is used to select the influence...
Effluent ammonia-nitrogen (NH3-N), chemical oxygen demand (COD) and total nitrogen (TN) removals are the most common environmental and process performance indicator for all types of wastewater treatment plants (WWTPs). In this paper, a soft computing approach based on the back propagation (BP) neural networks and fuzzy-rough sets (FR-BP) has been applied for forecasting effluent NH3-N, COD and TN...
Evolutionary Neural network has been used in many industries control problems. This paper analyzes Dissolved Oxygen (DO) model and set-point control, then using Evolutionary Radial Basis Function (RBF) Neural Network to present a new idea and model for DO concentration control. The idea is to control DO set-point through ammonium concentration prediction based on Evolutionary RBF Neural Network. Compared...
With respect to the existing problems of artificial neural network (ANN) methods for economic modeling and forecasting, an adaptive ANN algorithm is proposed after a brief introduction to the features of macroeconomic system. The training data set of the ANN was enlarged by using a chain style data recombination method first. Then the increasing rates of the input items and the so called time window...
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