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

Flávio Marcelo Correia, José Vicente Hallak d'Angelo, Gustavo Matheus Almeida, Sueli Aparecida Mingoti

ARTIGO

Inglês

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 four...

Aberto

Predicting kappa number in a kraft pulp continuous digester : a comparison of forecasting methods

Flávio Marcelo Correia, José Vicente Hallak d'Angelo, Gustavo Matheus Almeida, Sueli Aparecida Mingoti


										

Predicting kappa number in a kraft pulp continuous digester : a comparison of forecasting methods

Flávio Marcelo Correia, José Vicente Hallak d'Angelo, Gustavo Matheus Almeida, Sueli Aparecida Mingoti

    Fontes

    Brazilian journal of chemical engineering

    Vol. 35, no. 3 (July/Sep., 2018), p. 1081-1094