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Soft sensors of nonlinear industrial processes based on ...
IEEE Xplore
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由 C Wei 著作2017被引用 1 次 — This paper proposes a self-learning kernel regression model. It learns a specific kernel space from input and output data, simultaneously considering the ...
Soft sensors of nonlinear industrial processes based on self- ...
ResearchGate
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Soft sensors of nonlinear industrial processes based on self-learning kernel regression model. December 2017. DOI:10.1109/ASCC.2017.8287444. Conference: 2017 ...
Chihang Wei
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Soft sensors of nonlinear industrial processes based on self-learning kernel regression model. C Wei, J Chen, Z Song, CI Chen. 2017 11th Asian Control ...
Soft sensor model for nonlinear dynamic industrial process ...
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由 B Tuo 著作2024被引用 1 次 — We propose an interpretable industrial soft sensor based on Graph Sampling and Aggregation Temporal Convolutional Network Improved by Multi-head Self-Attention ...
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中原大學Chung Yuan Christian University
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中原大學Chung Yuan Christian University
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文件瀏覽及下載統計: Soft Sensors of Nonlinear Industrial Processes Based on Self-Learning Kernel Regression Model. 從: 起始 到: 迄今 變更日期範圍.
Soft Sensor Modeling of Nonlinear Industrial Processes ...
ResearchGate
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To depict nonlinear relationships between variables, nonlinear models in the machine learning community were further involved in soft sensors, represented by ...
Robust Soft Sensor with Deep Kernel Learning for Quality ...
National Institutes of Health (NIH) (.gov)
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由 S Zheng 著作2020被引用 23 次 — The process modeling results indicate that DNNs characterize nonlinear features better and enhance the automation level of industrial manufacturing processes.
Nonlinear Dynamic Soft Sensor Development with a ...
ACS Publications
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ACS Publications
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由 J Zheng 著作2022被引用 25 次 — Recently, soft sensor models based on deep-learning techniques have been successfully applied to complex industrial processes with nonlinear and ...
A review of just‐in‐time learning‐based soft sensor ...
Wiley Online Library
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Wiley Online Library
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2024年1月15日 — To present a comprehensive review of JITL-based soft sensor studies and provide detailed technical guidance for new researchers, this paper ...
Locally Weighted Kernel Principal Component Regression ...
ACS Publications
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ACS Publications
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由 X Yuan 著作2014被引用 171 次 — The principal component regression (PCR) based soft sensor modeling technique has been widely used for process quality prediction in the ...