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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE transactions on instrumentation and measurement Ročník 71; s. 1 - 9
Hlavní autori:	Tian, Ye, Xu, Yuan, Zhu, Qun-Xiong, He, Yan-Lin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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 prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!