Predictive modeling of the primary settling tanks based on artificial neural networks for estimating TSS and COD as typical effluent parameters

Predictive modeling of the primary settling tanks based on artificial neural networks for estimating TSS and COD as typical effluent parameters

A predictive model based on artificial neural networks (ANNs) for modeling primary settling tanks’ (PSTs) behavior in wastewater treatment plants was developed in this study. Two separate ANNs were built using input data, raw wastewater characteristics, and operating conditions. The output data from...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Pazmiño Arias, Carlos Esteban (author)
مؤلفون آخرون: Gallardo Aguilar, Andrea Michelle (author), Montenegro Madroñero, Jhon Fabián (author), Sommer Márquez, Alicia Estela (author), Ricaurte Fernández, Marvin José (author)
التنسيق: article
اللغة:eng
منشور في: 2022
الموضوعات:
Artificial neural networks
Chemical oxygen demand
Primary settling tanks
Process modeling
الوصول للمادة أونلاين:http://repositorio.yachaytech.edu.ec/handle/123456789/909
الوسوم: إضافة وسم
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الانترنت

http://repositorio.yachaytech.edu.ec/handle/123456789/909

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