A dynamic CNN for nonlinear dynamic feature learning in soft sensor modeling of industrial process data

Hierarchical local nonlinear dynamic feature learning is of great importance for soft sensor modeling in process industry. Convolutional neural network (CNN) is an excellent local feature extractor that is suitable for process data representation. In this paper, a dynamic CNN (DCNN) strategy is desi...

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Vydané v:	Control engineering practice Ročník 104; s. 104614
Hlavní autori:	Yuan, Xiaofeng, Qi, Shuaibin, Wang, Yalin, Xia, Haibing
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.11.2020
Predmet:	Convolutional Neural Network (CNN) Deep learning Quality prediction Soft sensor Deep learning Soft sensor Quality prediction Convolutional Neural Network (CNN)
ISSN:	0967-0661
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