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

  • Published:2018-09 Issue:3 Volume:35 Page:1081-1094
  • ISSN:1678-4383
  • Container-title:Brazilian Journal of Chemical Engineering
  • language:
  • Short-container-title:Braz. J. Chem. Eng.

Author:

Correia Flávio Marcelo1,d'Angelo José Vicente Hallak2,Almeida Gustavo Matheus3,Mingoti Sueli Aparecida3

Affiliation:

1. CENIBRA Celulose Nipo Brasileira SA

2. University of Campinas

3. Federal University of Minas Gerais

Publisher

FapUNIFESP (SciELO)

Subject

General Chemical Engineering

Reference58 articles.

1. An Introductory Study on Time Series Modelling and Forecasting;Adhikari R.,2013

2. Clustering algorithms in process monitoring and control application to continuous digesters;Ahvenlampi T.;Informatica,2005

3. Industrial Lo-Solids pulp digester simulation by the Purdue model;Araneda F. J.;TAPPI Journal,2009

4. Modeling of an industrial drying process by artificial neural networks;Assidjo E.;Braz. J. Chem. Eng.,2008

5. Continuous Digester Optimization using Advanced Process Control;Badwe A.;Procedings Computer Society of India,2016

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1. Data-driven modeling and multi-objective optimization of a continuous kraft pulping digester;Chemical Engineering Research and Design;2024-07

2. Estimating lags in a kraft mill;Nordic Pulp & Paper Research Journal;2024-05-17

3. Multiscale Physics-Informed Neural Network Framework to Capture Stochastic Thin-Film Deposition;The Journal of Physical Chemistry C;2024-02-27

4. A parallel hybrid model for integrating protein adsorption models with deep neural networks;Adsorption;2023-11-06

5. Pulp and Paper;Springer Handbook of Wood Science and Technology;2023
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