PREDICTING KAPPA NUMBER IN A KRAFT PULP CONTINUOUS DIGESTER: A COMPARISON OF FORECASTING METHODS
Abstract This paper discusses kappa number prediction models using Single Exponential Smoothing, Multiple Linear Regression Analysis, the Time Series Method of Box-Jenkins (ARIMA) and Artificial Neural Networks. Applying a database of an industrial eucalyptus Kraft pulp continuous digester, these fo...
Main Authors: | , , , |
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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=S0104-66322018000301081&lng=en&tlng=en |