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

Article

Abstract: A predictive model based on artificial neural networks (ANNs) for modeling primary settling tanks’ (

Palabras claves:

artificial neural networks, chemical oxygen demand, primary settling tanks, Process modeling, total suspended solids, wastewater treatment plants

Autores:

Alicia Sommer Márquez, Andrea M. Gallardo, Carlos Veloz, Esteban Pazmiño-Arias, Jhon Montenegro, Marvin Ricaurte

Fuentes:

scopus