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pro vyhledávání: '"Chun Fai Lui"'
Publikováno v:
Communications in Statistics - Simulation and Computation. :1-17
Existing monitoring tools for multivariate data are often asymptotically distribution-free, computationally intensive, or require a large stretch of stable data. Many of these methods are not applicable to 'high dimension, low sample size' scenarios.
Publikováno v:
International Journal of Production Research. :1-16
Publikováno v:
Fai Lui, C, Liu, Y & Xie, M 2022, ' A Supervised Bidirectional Long Short-Term Memory Network for Data-driven Dynamic Soft Sensor Modeling ', IEEE Transactions on Instrumentation and Measurement, vol. 71, 2504713 . https://doi.org/10.1109/TIM.2022.3152856
ORCID
Online Research Database In Technology
Sygma
ORCID
Online Research Database In Technology
Sygma
Data-driven soft sensors have been widely adopted in industrial processes to learn hidden knowledge automatically from process data, then to monitor difficult-to-measure quality variables. However, to extract and utilize useful dynamic latent feature