利用深度关注神经网络加强基于先验知识的控制,以控制切片烟草的出口水分含量

IF 2.7 3区 工程技术 Q3 ENGINEERING, CHEMICAL Drying Technology Pub Date : 2024-07-17 DOI:10.1080/07373937.2024.2377725
Shunpeng Pang, Junhua Jia, Xiaowei Xin, Yonghui Zhang, Chunlei Chen, Lei Wang, Xiangqian Ding
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Enhancing prior-knowledge-based control with deep attention neural network for outlet moisture content of cut-tobacco
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来源期刊
Drying Technology
Drying Technology 工程技术-工程:化工
CiteScore
7.40
自引率
15.20%
发文量
133
审稿时长
2 months
期刊介绍: Drying Technology explores the science and technology, and the engineering aspects of drying, dewatering, and related topics. Articles in this multi-disciplinary journal cover the following themes: -Fundamental and applied aspects of dryers in diverse industrial sectors- Mathematical modeling of drying and dryers- Computer modeling of transport processes in multi-phase systems- Material science aspects of drying- Transport phenomena in porous media- Design, scale-up, control and off-design analysis of dryers- Energy, environmental, safety and techno-economic aspects- Quality parameters in drying operations- Pre- and post-drying operations- Novel drying technologies. This peer-reviewed journal provides an archival reference for scientists, engineers, and technologists in all industrial sectors and academia concerned with any aspect of thermal or nonthermal dehydration and allied operations.
期刊最新文献
Rice protein hydrolysates as natural emulsifiers for an effective microencapsulation of orange essential oil by spray drying Operational parameters optimization of convection air-drying with ultrasound pretreatment of Cyperus rotundus L. tubers by RSM Ultrasound-assisted drying of apples – process kinetics, energy consumption, and product quality Enhancing prior-knowledge-based control with deep attention neural network for outlet moisture content of cut-tobacco A critical review on developments in drying technologies for enhanced stability and bioavailability of pharmaceuticals
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