توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱Investigation of effluent brackish water from oil companies by ANN
اطلاعات انتشار: اولین همایش منطقه ای گاز، تکنولوژی و توسعه، سال
تعداد صفحات: ۲۶
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.<\div>
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