Machine Learning Algorithms Used in PSE Environments: A Didactic Approach and Critical Perspective-Reference-Cited by-同舟云学术

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Machine Learning Algorithms Used in PSE Environments: A Didactic Approach and Critical Perspective

Published:2022-05-24 Issue:25 Volume:61 Page:8932-8962
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Fuentes-Cortés Luis Fabián¹^ORCID,Flores-Tlacuahuac Antonio²^ORCID,Nigam Krishna D. P.²³

Affiliation:

1. Departamento de Ingeniería Química, Tecnologico Nacional de México - Instituto Tecnológico de Celaya, Celaya, Guanajuato 38010, Mexico

2. Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias Ave. Eugenio Garza Sada 2501, Monterrey, N.L. 64849, Mexico

3. Department of Chemical Engineering, Indian Institute of Technology Delhi 600036, India

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.2c00335

Reference373 articles.

1. Big data: From beginning to future

2. Perspectives for process systems engineering—Personal views from academia and industry

3. A systems engineering perspective on process integration in industrial biotechnology

4. Research challenges in process systems engineering

5. Machine learning: Overview of the recent progresses and implications for the process systems engineering field

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