Artificial intelligence in process systems engineering

Tao Shi; Ao Yang; Yuanzhi Jin; Jingzheng Ren; Weifeng Shen; Lichun Dong; Yi Man

doi:10.1016/B978-0-12-821092-5.00010-3

Artificial intelligence in process systems engineering

Tao Shi, Ao Yang, Yuanzhi Jin, Jingzheng Ren, Weifeng Shen, Lichun Dong, Yi Man

Research output: Chapter in book / Conference proceeding › Chapter in an edited book (as author) › Academic research › peer-review

3 Citations (Scopus)

Abstract

Accompanied by the great advances in computer hardware and the widespread commercial application in big data, the artificial intelligence (AI) represented by the machine learning technology has gained popular applications in the past two decades. On the other side, some challenges such as multiscale modeling, simulation, optimization, control, and supply chain management have been encountered in the research of process system engineering (PSE). Advanced AI technology like deep learning, reinforcement learning, etc. provides a promising way to solve the above-mentioned problems in the PSE from a different perspective. Therefore, the background about PSE and typical branching of AI are introduced to give us an overall grasp about both disciplines. In addition, some work related to the AI applications in PSE have been reviewed hopefully to provide some inspirations in the relative fields.

Original language	English
Title of host publication	Applications of Artificial Intelligence in Process Systems Engineering
Publisher	Elsevier
Chapter	1
Pages	1-10
Number of pages	10
ISBN (Electronic)	9780128217436
ISBN (Print)	9780128210925
DOIs	https://doi.org/10.1016/B978-0-12-821092-5.00010-3
Publication status	Published - 5 Jun 2021

Keywords

Artificial intelligence
Process system engineering
Machine learning

More information

10.1016/B978-0-12-821092-5.00010-3

Cite this

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AU - Shi, Tao

AU - Yang, Ao

AU - Jin, Yuanzhi

AU - Ren, Jingzheng

AU - Shen, Weifeng

AU - Dong, Lichun

AU - Man, Yi

PY - 2021/6/5

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AB - Accompanied by the great advances in computer hardware and the widespread commercial application in big data, the artificial intelligence (AI) represented by the machine learning technology has gained popular applications in the past two decades. On the other side, some challenges such as multiscale modeling, simulation, optimization, control, and supply chain management have been encountered in the research of process system engineering (PSE). Advanced AI technology like deep learning, reinforcement learning, etc. provides a promising way to solve the above-mentioned problems in the PSE from a different perspective. Therefore, the background about PSE and typical branching of AI are introduced to give us an overall grasp about both disciplines. In addition, some work related to the AI applications in PSE have been reviewed hopefully to provide some inspirations in the relative fields.

KW - Artificial intelligence

KW - Process system engineering

KW - Machine learning

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U2 - 10.1016/B978-0-12-821092-5.00010-3

DO - 10.1016/B978-0-12-821092-5.00010-3

M3 - Chapter in an edited book (as author)

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BT - Applications of Artificial Intelligence in Process Systems Engineering

PB - Elsevier

ER -

Artificial intelligence in process systems engineering

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