PREDICTING KAPPA NUMBER IN A KRAFT PULP CONTINUOUS DIGESTER: A COMPARISON OF FORECASTING METHODS

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...

Full description

Bibliographic Details
Main Authors: Flávio Marcelo Correia, José Vicente Hallak d'Angelo, Gustavo Matheus Almeida, Sueli Aparecida Mingoti
Format: Article
Language:English
Published: Brazilian Society of Chemical Engineering
Series:Brazilian Journal of Chemical Engineering
Subjects:
Kraft pulping
continuous digester
statistical methods
neural network applications
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322018000301081&lng=en&tlng=en

Internet

http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322018000301081&lng=en&tlng=en

Similar Items