MODELING OF ACTIVATED SLUDGE PROCESS USING SEQUENTIAL ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM

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VAJEDI M.; SHAHHOSSEINI SH.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: WATER AND WASTEWATER Year:2014 | Volume:25 | Issue:4 (92) Page(s): 108-111

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Information Journal Paper

Title

MODELING OF ACTIVATED SLUDGE PROCESS USING SEQUENTIAL ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM

Author(s)

VAJEDI M. | SHAHHOSSEINI SH. | Issue Writer Certificate

Keywords

PARS SPECIAL ZONEQ2

ADAPTIVE NURO-FUZZYQ3

ACTIVATED SLUDGE PROCESSQ2

CODQ2

Abstract

In this study, an adaptive neuro-fuzzy inference system (ANFIS) is employed to model the activated sludge wastewater treatment process at Mobin Petrochemical Company. The correlation coefficients between the input variables and the output variables were calculated to determine the one input with the highest influence on the output (the quality of the outlet flow) in order to compare three neuro-fuzzy structures with different numbers of parameters. The predictions of the neuro-fuzzy models were compared with those of multilayer artificial neural network models with a similar structure. The comparison indicated that both methods provided flexible, robust, and effective models for the activated sludge system. Moreover, the mean squared errors of the neuro-fuzzy and the neural network models were obtained as 5.14 and 6.59, respectively, which indicates the superior performance of the former.

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APA: Copy

VAJEDI, M., & SHAHHOSSEINI, SH.. (2014). MODELING OF ACTIVATED SLUDGE PROCESS USING SEQUENTIAL ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM. WATER AND WASTEWATER, 25(4 (92)), 108-111. SID. https://sid.ir/paper/103541/en

Vancouver: Copy

VAJEDI M., SHAHHOSSEINI SH.. MODELING OF ACTIVATED SLUDGE PROCESS USING SEQUENTIAL ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM. WATER AND WASTEWATER[Internet]. 2014;25(4 (92)):108-111. Available from: https://sid.ir/paper/103541/en

IEEE: Copy

M. VAJEDI, and SH. SHAHHOSSEINI, “MODELING OF ACTIVATED SLUDGE PROCESS USING SEQUENTIAL ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM,” WATER AND WASTEWATER, vol. 25, no. 4 (92), pp. 108–111, 2014, [Online]. Available: https://sid.ir/paper/103541/en

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