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...

Full description

Bibliographic Details

Published in:	Control engineering practice Vol. 104; p. 104614
Main Authors:	Yuan, Xiaofeng, Qi, Shuaibin, Wang, Yalin, Xia, Haibing
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.11.2020
Subjects:	Convolutional Neural Network (CNN) Deep learning Quality prediction Soft sensor Deep learning Soft sensor Quality prediction Convolutional Neural Network (CNN)
ISSN:	0967-0661
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!