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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書誌詳細
第一著者: Pazmiño Arias, Carlos Esteban (author)
その他の著者: Gallardo Aguilar, Andrea Michelle (author), Montenegro Madroñero, Jhon Fabián (author), Sommer Márquez, Alicia Estela (author), Ricaurte Fernández, Marvin José (author)
フォーマット: article
言語:eng
出版事項: 2022
主題:
Artificial neural networks
Chemical oxygen demand
Primary settling tanks
Process modeling
オンライン･アクセス:http://repositorio.yachaytech.edu.ec/handle/123456789/909
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http://repositorio.yachaytech.edu.ec/handle/123456789/909

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