Processes soft modeling based on stacked autoencoders and wavelet extreme learning machine for aluminum plant-wide application

Data-driven soft modeling has been extensively used for industrial processes to estimate key quality indicators which are hard to measure by some physical devices. However,the existing deep soft methods faces the challenge of training efficiency, gradient diminishing and explosion. Constructing an a...

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Bibliographic Details

Published in:	Control engineering practice Vol. 108; p. 104706
Main Authors:	Lei, Yongxiang, Karimi, Hamid Reza, Cen, Lihui, Chen, Xiaofang, Xie, Yongfang
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.03.2021
Subjects:	Extreme learning method Plant-wide control Soft model Stacked autoencoder (SAE) Wavelet kernel function Plant-wide control Stacked autoencoder (SAE) Wavelet kernel function Soft model Extreme learning method
ISSN:	0967-0661, 1873-6939
Online Access:	Get full text
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