Investigation of effluent brackish water from oil companies by ANN

سال انتشار: 1392
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,255

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شناسه ملی سند علمی:

FGTDC01_024

تاریخ نمایه سازی: 27 فروردین 1393

چکیده مقاله:

Recent regulations have guaranteed the construction of specific plants such as desalination units to reach zero discharge desalination (ZDD) goals. The influence of majors in pretreatment of wastewater such as amounts of NaOH, , composition of mixture of coagulants and mixing rate of first pretreatment reactor on the amount of turbidity, total hardness, content and electrical conductivity of effluent wastewater are investigated experimentally and the optimum values are presented. Also, sensitivity analyzing shows the importance of these four majors on the performance of pretreatment process.Experimental data are normalized and preprocessed then suitable architecture of ANN, the number of neurons in hidden layer and transfer function, the training algorithm are optimized. Also, two types of ANFIS are trained and the results of ANN and ANFIS predictive models are compared with each other using statistical criteria (RMSE, R and MAE). Results demonstrate that ANN can predict more effectively and afford high accuracy for forecasting the performance of pretreatment unit.

نویسندگان

Farshad Farahbod

Department of Chemistry, Firoozabad branch, Islamic Azad University, Firoozabad, Fars, Iran

Atefeh Vaghefi

Chemical engineering,Islamic Azad University,Firouzabad

Sana Delavari

Medical Engineering,Payam Nour University

Elham Javanmard Haghighifard

Mechanical Engineering,Payam Nour University

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