MODELING OF LAB-SCALE ACTIVATED SLUDGE REACTOR USING ARTIFICIAL NEURAL NEWORKS
| Author(s) | : | Mahadevi Ganiger, P B Kalburgi, J D Mallapur |
| Institution | : | Department of civil Engineering, Basaveshwar Engineering College Bagalkot, India |
| Published In | : | Vol. 2, Issue 5 — May 2015 |
| Page No. | : | 1334-1340 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Artificial Intelligence (AI) models are being used for the simulation and control of biological processes inwastewater treatment plant (WWTP). These models can be described as computational methodologies which reflect thebehavior of non-linear relationships between cause and effects irrespective to the process. In this study, artificial neuralnetwork (ANN) models were used as an AI method for simulation and prediction of effluent parameters in Activatedsludge process (ASP). The effluent COD as a model output was predicted by taking time varying input parameters suchas pH, TDSinf, BODinf, CODinf of daily data from the measured parameters of ASP. The model was developed byusing artificial neural network for multistep- ahead prediction with non-linear auto regressive with external inputs(NARX) tool in MATLAB/Simulink(R2012a). The script was written in the MATLAB with training, validation and testingas the stages of prediction. From the analysis of the results obtained by this model, it was found that the value ofregression coefficients for the best fit model was 0.8095 with hidden layer size-8 and trainlm as training function.
Mahadevi Ganiger, P B Kalburgi, J D Mallapur, “MODELING OF LAB-SCALE ACTIVATED SLUDGE REACTOR USING ARTIFICIAL NEURAL NEWORKS”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 5, pp. 1334-1340, May 2015.
