A new approach to building surrogate models of high-fidelity stochastic simulations: PARIN (PARameter as Input-variable)-Reference-Cited by-同舟云学术

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A new approach to building surrogate models of high-fidelity stochastic simulations: PARIN (PARameter as Input-variable)

Published:2023-08 Issue: Volume:176 Page:108315
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Mohammadi Samira,Cremaschi Selen^ORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference33 articles.

1. Stochastic simulation-based superstructure optimization framework for process synthesis and design under uncertainty;Al;Comput. Chem. Eng.,2020

2. CFD modeling of flow and heat transfer in a thermosyphon;Alizadehdakhel;Int. Commun. Heat Mass Transf.,2010

3. Stochastic kriging for simulation metamodeling;Ankenman;Proc. - Winter Simul. Conf.,2008

4. Random forests;Breiman;Mach. Learn.,2001

5. Integrated process design, scheduling, and control using multiparametric programming;Burnak;Comput. Chem. Eng.,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advanced Modeling and Optimization Strategies for Process Synthesis;Annual Review of Chemical and Biomolecular Engineering;2024-07-24

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