The Application of Support Vector Regression Models which Based on MATLAB on the Simulation of Wastewater Treatment Plant

Abstract:

Mathematical modeling and simulation technology is a very important wastewater treatment plant data processing analysis tools. To analysis the wastewater treatment plant operation process, this study was realized on MATLAB and LIB-SVM tools. Determine the five feed water quality indexes (water inflow, pH, temperature, COD, MLSS) as input variables and the effluent COD concentration as output variable. Within the SVM modeling, through the GA algorithm, PSO algorithm and the grid search method to separately carried on the model parameters optimization. Through the verification results show that SVM model predicted the COD concentration average relative error is 0.0165, which has higher accuracy, which can meet the actual requirements of water quality prediction.

• Periodical: Advanced Materials Research (Volume 664)
• Pages: 197-201
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.664.197
• Online since: February 2013
• Authors: Fu Guang Gu, Zhao Bo Chen, Hong Cheng Wang, Shun Li Zhang, Shu Kai Nie
• Keywords: Mathematical Models, Simulation, Support Vector Regression Model (SVM)

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