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...

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Autor Principal: Pazmiño Arias, Carlos Esteban (author)
Outros autores: Gallardo Aguilar, Andrea Michelle (author), Montenegro Madroñero, Jhon Fabián (author), Sommer Márquez, Alicia Estela (author), Ricaurte Fernández, Marvin José (author)
Formato: article
Idioma:eng
Publicado: 2022
Subjects:
Artificial neural networks
Chemical oxygen demand
Primary settling tanks
Process modeling
Acceso en liña:http://repositorio.yachaytech.edu.ec/handle/123456789/909
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