Integration of Encoding and Temporal Forecasting: Toward End-to-End NO$_x$ Prediction for Industrial Chemical Process-Reference-Cited by-同舟云学术

Integration of Encoding and Temporal Forecasting: Toward End-to-End NO$_x$ Prediction for Industrial Chemical Process

Published:2023 Issue: Volume: Page:1-13
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Jiang Han¹^ORCID,Zhang Shucai²^ORCID,Yang Wenyu²,Peng Xin¹^ORCID,Zhong Weimin¹^ORCID

Affiliation:

1. Ministry of Education, Key Laboratory of Advanced Control and Optimization for Chemical Processes, East China University of Science and Technology, Shanghai, China

2. State Key Laboratory of Safety and Control for Chemicals, SINOPEC Research Institute of Safety Engineering Company Ltd, Qingdao, China

Funder

National Natural Science Fund for Distinguished Young Scholars

National Natural Science Foundation of China

Major Project of SINOPEC

Shanghai AI Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10138232.pdf?arnumber=10138232

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