Predicting the Performance of Gorgan Wastewater Treatment Plant Using ANN-GA, CANFIS, and ANN Models

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BAYAT VARKESHI MARYAM; GODINI KAZEM; ParsiMehr Mohammad; Vafaee Maryam

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Journal Paper

Paper Information

Journal: Avicenna Journal of Environmental Health Engineering Year:2019 | Volume:6 | Issue:2 Page(s): 92-99

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Information Journal Paper

Title

Predicting the Performance of Gorgan Wastewater Treatment Plant Using ANN-GA, CANFIS, and ANN Models

Author(s)

BAYAT VARKESHI MARYAM | GODINI KAZEM | ParsiMehr Mohammad | Vafaee Maryam | Issue Writer Certificate

Keywords

Artificial neural network

Wastewater

Fuzzy logic

Genetic algorithm

Abstract

A reliable model for any Wastewater treatment plant (WWTP) is essential to predict its performance and form a basis for controlling the operation of the process. This would minimize the operation costs and assess the stability of environmental balance. This study applied Artificial neural network-Genetic algorithm (ANN-GA) and co-active neuro-Fuzzy logic inference system (CANFIS) in comparison with ANN for predicting the performance of WWTP. The result indicated that the GA produces more accurate results than Fuzzy logic technique. It was found that GA components increased the ANN ability in predicting WWTP performance. The normalized root mean square error (NRMSE) for ANN-GA in predicting chemical oxygen demand (COD), total suspended solids (TSS) and biochemical oxygen demand (BOD) were 0. 15, 0. 19 and 0. 15, respectively. The corresponding correlation coefficients were 0. 891, 0. 930 and 0. 890, respectively. Comparing these results with other studies showed that despite the slightly lower performance of the current model, its requirement for a lower number of input parameters can save the extra cost of sampling.

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APA: Copy

BAYAT VARKESHI, MARYAM, GODINI, KAZEM, ParsiMehr, Mohammad, & Vafaee, Maryam. (2019). Predicting the Performance of Gorgan Wastewater Treatment Plant Using ANN-GA, CANFIS, and ANN Models. AVICENNA JOURNAL OF ENVIRONMENTAL HEALTH ENGINEERING, 6(2), 92-99. SID. https://sid.ir/paper/970182/en

Vancouver: Copy

BAYAT VARKESHI MARYAM, GODINI KAZEM, ParsiMehr Mohammad, Vafaee Maryam. Predicting the Performance of Gorgan Wastewater Treatment Plant Using ANN-GA, CANFIS, and ANN Models. AVICENNA JOURNAL OF ENVIRONMENTAL HEALTH ENGINEERING[Internet]. 2019;6(2):92-99. Available from: https://sid.ir/paper/970182/en

IEEE: Copy

MARYAM BAYAT VARKESHI, KAZEM GODINI, Mohammad ParsiMehr, and Maryam Vafaee, “Predicting the Performance of Gorgan Wastewater Treatment Plant Using ANN-GA, CANFIS, and ANN Models,” AVICENNA JOURNAL OF ENVIRONMENTAL HEALTH ENGINEERING, vol. 6, no. 2, pp. 92–99, 2019, [Online]. Available: https://sid.ir/paper/970182/en

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