Long-Term Prediction of Biological Wastewater Treatment Process Behavior via Wiener-Laguerre Network Model

Abstract

A Wiener-Laguerre model with artificial neural network (ANN) as its nonlinear static part was employed to describe the dynamic behavior of a sequencing batch reactor (SBR) used for the treatment of dye-containing wastewater. The model was developed based on the experimental data obtained from the treatment of an effluent containing a reactive textile azo dye, Cibacron yellow FN-2R, by Sphingomonas paucimobilis bacterium. The influent COD, MLVSS, and reaction time were selected as the process inputs and the effluent COD and BOD as the process outputs. The best possible result for the discrete pole parameter was = 0.44. In order to adjust the parameters of ANN, the Levenberg-Marquardt (LM) algorithm was employed. The results predicted by the model were compared to the experimental data and showed a high correlation with 2 > 0.99 and a low mean absolute error (MAE). The results from this study reveal that the developed model is accurate and efficacious in predicting COD and BOD parameters of the dye-containing wastewater treated by SBR. The proposed modeling approach can be applied to other industrial wastewater treatment systems to predict effluent characteristics.

Temperature sensor fault diagnosing in heavy duty gas turbines using Laguerre network-based hierarchical fuzzy systems

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“…Here, the order of filter is chosen to be a = 8, which is an appropriate tradeoff between the complexity and the accuracy of models. For more details please refer to [12]. In order to define the structure of fuzzy models, membership functions and determine the number of fuzzy rules, the FCM approach is employed.…”

“…Despite the good performance of dynamic fuzzy models, this approach is still suffering from the usual drawbacks of the NARX such as retaining the past terms information of input and output variables. This may lead to exponential increase of memory usage by increasing the size of models [12,13]. Furthermore, exposing to realistic disturbances would cause severe difficulties in defining the model parameters.…”

A Green and Cost-effective Approach to Reutilize the Effluent from Bleaching Process

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