2023
DOI: 10.11591/ijai.v12.i2.pp560-567
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Neural network-based pH and coagulation adjustment system in water treatment

Abstract: This document presents a machine learning model development as a tool to improve chemical dosing procedure in ariari regional aqueduct (ARA). The supervised learning model has been addressed starting from the knowledge of data color, turbidity and pH at the water inlet to the aqueduct and the dosing results of type A aluminum sulfate and calcium oxide (lime) obtained through jar tests. The construction of the automatic learning model had a comprehensive implementation and improvement field through continuous s… Show more

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