Investigating the Results of Predicting the Quality of Treated Effluent Using Neural Network and Metaheuristic Algorithm (Case Study: Pegah Factory in Azerbaijan)

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YOUSEFI NEJAD ATTARI M.; HABBIBI SH.; DERAKHSHAN A.

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Journal Paper

Paper Information

Journal: JOURNAL OF WATER AND SUSTAINABLE DEVELOPMENT Year:2020 | Volume:7 | Issue:3 Page(s): 63-72

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Title

Investigating the Results of Predicting the Quality of Treated Effluent Using Neural Network and Metaheuristic Algorithm (Case Study: Pegah Factory in Azerbaijan)

Author(s)

YOUSEFI NEJAD ATTARI M. | HABBIBI SH. | DERAKHSHAN A. | Issue Writer Certificate

Keywords

Effluent

Genetic Algorithm

Neural Network

BOD5

COD

Abstract

Reducing water resources and increasing demand for safe drinking water requires attention to water resources that can be returned to nature or can be used in industry or agriculture. In this regard, the use of optimal and effective methods for wastewater treatment and development is very important. In order to increase the efficiency of the wastewater treatment system and in order to reduce the pollution load of the Effluent, it is very important to predict the quality of the treated Effluent. In this research work, using Genetic Algorithm and Neural Network method, the Effluent treatment system of Azerbaijan Pegah factory has been modeled in order to optimize the results using Genetic Algorithm and Neural Network method. The Effluent treatment process should be carried out in order to anticipate the removal and disinfection of the remaining carbon materials and microbial contaminants according to the BOD5 and COD data that determine the quality of the Effluent. The results show that the combination of the above two algorithms has been successful in predicting the output data compared to the actual data and there is an 87% matching of the data.

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APA: Copy

YOUSEFI NEJAD ATTARI, M., HABBIBI, SH., & DERAKHSHAN, A.. (2020). Investigating the Results of Predicting the Quality of Treated Effluent Using Neural Network and Metaheuristic Algorithm (Case Study: Pegah Factory in Azerbaijan). JOURNAL OF WATER AND SUSTAINABLE DEVELOPMENT, 7(3 ), 63-72. SID. https://sid.ir/paper/401723/en

Vancouver: Copy

YOUSEFI NEJAD ATTARI M., HABBIBI SH., DERAKHSHAN A.. Investigating the Results of Predicting the Quality of Treated Effluent Using Neural Network and Metaheuristic Algorithm (Case Study: Pegah Factory in Azerbaijan). JOURNAL OF WATER AND SUSTAINABLE DEVELOPMENT[Internet]. 2020;7(3 ):63-72. Available from: https://sid.ir/paper/401723/en

IEEE: Copy

M. YOUSEFI NEJAD ATTARI, SH. HABBIBI, and A. DERAKHSHAN, “Investigating the Results of Predicting the Quality of Treated Effluent Using Neural Network and Metaheuristic Algorithm (Case Study: Pegah Factory in Azerbaijan),” JOURNAL OF WATER AND SUSTAINABLE DEVELOPMENT, vol. 7, no. 3 , pp. 63–72, 2020, [Online]. Available: https://sid.ir/paper/401723/en

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