Zhao, Xiaoqiang https://orcid.org/0000-0001-5687-942X
Tuo, Benben
Hui, Yongyong https://orcid.org/0000-0001-5014-887X
Funding for this research was provided by:
the National Natural Science Foundation of China (62163023)
Gansu Province Key Laboratory of Advanced Control of Industrial Processes Open Foundation (2022KX07)
the Science and Technology Project of Gansu Province (21JR7RA206)
Gansu Provincial Education Department: Postgraduate ”Innovation Star” Project (2023CXZX-474)
Article Title: Deep learning with CBAM-based CNN for batch process quality prediction
Journal Title: Measurement Science and Technology
Article Type: paper
Copyright Information: © 2023 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Publication dates
Date Received: 2023-04-18
Date Accepted: 2023-07-28
Online publication date: 2023-08-09