A Data-Driven Soft Sensor Modeling Method Based on Deep Learning and its Application

Soft sensors have been widely used in industrial processes. The core issue of data-driven soft sensors is building soft sensor models with excellent performance and robustness. This paper introduces deep learning to soft sensor modeling and proposes a novel soft sensor modeling method based on a dee...

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Vydané v:	IEEE transactions on industrial electronics (1982) Ročník 64; číslo 5; s. 4237 - 4245
Hlavní autori:	Yan, Weiwu, Tang, Di, Lin, Yujun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.05.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Biological system modeling Computational modeling Data models Deep learning denoising autoencoder (DAE) Machine learning Microprocessors Modelling Neural networks Noise reduction Oxygen content Performance enhancement Robustness Sensors soft sensor Training unlabeled data
ISSN:	0278-0046, 1557-9948
On-line prístup:	Získať plný text
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