Data-driven modeling and multi-objective optimization of a continuous kraft pulping digester-Reference-Cited by-同舟云学术

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Data-driven modeling and multi-objective optimization of a continuous kraft pulping digester

Published:2024-07 Issue: Volume:207 Page:505-517
ISSN:0263-8762
Container-title:Chemical Engineering Research and Design
language:en
Short-container-title:Chemical Engineering Research and Design

Author:

Correa Isabela B.^ORCID,de Souza Maurício B.^ORCID,Secchi Argimiro R.^ORCID

Publisher

Elsevier BV

Reference34 articles.

1. Neural Networks and Deep Learning: A Textbook;Aggarwal,2018

2. Optuna: A next-generation hyperparameter optimization framework;Akiba,2019

3. Fundamental thermal-hydraulic pulp digester model with grade transition;Bhartiya;AIChE J.,2003

4. Pymoo: Multi-objective optimization in python;Blank;IEEE Access,2020

5. Multiscale modeling and multiobjective control of wood fiber morphology in batch pulp digester;Choi;AIChE J.,2020

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