Novel Stacked Input-Enhanced Supervised Autoencoder Integrated With Gated Recurrent Unit for Soft Sensing

Machine learning techniques have been successfully utilized as effective soft sensing for industrial processes. Unfortunately, as modern industrial processes become increasingly complex in the terms of scale and integration, the collected process data become more complicated in terms of dimensionali...

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Vydáno v:	IEEE transactions on instrumentation and measurement Ročník 71; s. 1 - 9
Hlavní autoři:	Tian, Ye, Xu, Yuan, Zhu, Qun-Xiong, He, Yan-Lin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Data mining Data models Data processing Dynamic modeling Dynamic models Feature extraction gated recurrent unit (GRU) industrial processes input-enhanced supervised autoencoder (ISAE) Logic gates Machine learning Predictive models Root-mean-square errors soft sensing Soft sensors Terephthalic acid Training
ISSN:	0018-9456, 1557-9662
On-line přístup:	Získat plný text
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