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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Κύριος συγγραφέας:	Pazmiño Arias, Carlos Esteban (author)
Άλλοι συγγραφείς:	Gallardo Aguilar, Andrea Michelle (author), Montenegro Madroñero, Jhon Fabián (author), Sommer Márquez, Alicia Estela (author), Ricaurte Fernández, Marvin José (author)
Μορφή:	article
Γλώσσα:	eng
Έκδοση:	2022
Θέματα:	Artificial neural networks Chemical oxygen demand Primary settling tanks Process modeling
Διαθέσιμο Online:	http://repositorio.yachaytech.edu.ec/handle/123456789/909
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Predictive modeling of the primary settling tanks based on artificial neural networks for estimating TSS and COD as typical effluent parameters

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