APPLICATION OF UNCERTAINTY ANALYSIS OF ARTIFICIAL NEURAL NETWORKSFOR PREDICTING COAGULANT AND ALKALIZER DOSAGES IN A WATER TREATMENT PROCESS
ABSTRACT Artificial neural networks (ANNs) were built to predict coagulant (Model I) and alkalizer (Model II) dosages given raw and treated water parameters from a water clarifying process. Different ANN architectures were tested and optimal results were obtained with [10-10-10-01] and [08-12-12-01]...
Main Authors: | F. C. de Menezes, R. M. Fontes, K. P. Oliveira-Esquerre, R. Kalid |
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Format: | Article |
Language: | English |
Published: |
Brazilian Society of Chemical Engineering
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Series: | Brazilian Journal of Chemical Engineering |
Subjects: | |
Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322018000401369&lng=en&tlng=en |
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