14 مرداد 1399
مريم بيات وركشي

مریم بیات ورکشی

مرتبه علمی: استادیار
نشانی: m.bayat.v@malayeru.ac.ir
تحصیلات: دکترای تخصصی / خاکشناسی-منابع آب
تلفن:
دانشکده: کشاورزی

مشخصات پژوهش

عنوان
BOD and COD Estimation in Wastewater Outflow via Artificial Neural Network
نوع پژوهش مقاله ارائه شده
کلیدواژه‌ها
Artificial neural network Wastewater Performance simulation Environment
سال
2017
پژوهشگران مریم بیات ورکشی

چکیده

Considering the capability of artificial neural network (ANN) in predicting nonlinear phenomena such as wastewater treatment, in this study the ANN was used to predict two major wastewater quality parameters including Biochemical oxygen demand (BOD) and chemical oxygen demand (COD). The normal root mean square error (NRMSE) criterion for prediction of COD and TSS were 0.16 and 0.19, respectively. The corresponding correlation coefficients were 0.851 and 0.802, respectively. In general, the results indicated that accuracy of the ANN technique in prediction of COD was more than BOD.