Keywords
agua
optimización
How to Cite
Abstract
Se evaluó la dosificación de coagulantes utilizando redes neuronales artificiales, enuna planta de agua potable ubicada en Perú (12° 00’ 00" S y 75° 11?’ 00" W) a3420m, donde la calidad al ingreso es inestable debido a precipitaciones fluvialesque alteran sus propiedades fisicoquímicas. Se utilizó la “prueba de jarras” paraevaluar la dosis de coagulante (Al2SO4), considerando turbiedad, pH, conductividady sólidos disueltos, con temperatura y caudal promedio de 10° C y 148 L/s. Los datosde once meses fueron usadas para entrenar diversas tipologías de redes, siendo lade regresión generalizada la que presentó un rendimiento de 97,77 % y evidencióque los factores más influentes son los sólidos disueltos, la turbidez, la conductividady el pH, con 42,79 , 32,43 , 10,33 y 7,26 %, respectivamente.Ambiente y Desarrollo is registered under a Creative Commons Attribution 4.0 International Public License. Thus, this work may be reproduced, distributed, and publicly shared in digital format, as long as the names of the authors and Pontificia Universidad Javeriana are acknowledged. Others are allowed to quote, adapt, transform, auto-archive, republish, and create based on this material, for any purpose (even commercial ones), provided the authorship is duly acknowledged, a link to the original work is provided, and it is specified if changes have been made. Pontificia Universidad Javeriana does not hold the rights of published works and the authors are solely responsible for the contents of their works; they keep the moral, intellectual, privacy, and publicity rights.
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