Quality-related locally weighted soft sensing for non-stationary processes by a supervised Bayesian network with latent variables
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
https://link.springer.com/content/pdf/10.1631/FITEE.2000426.pdf
Reference41 articles.
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2. Atkeson CG, Moore AW, Schaal S, 1997. Locally weighted learning. In: Aha DW (Ed.), Lazy Learning. Springer, Dordrecht, p.11–73. https://doi.org/10.1007/978-94-017-2053-3_2
3. Ben-Gal I, 2008. Bayesian networks. In: Ruggeri F, Kenett RS, Faltin FW (Eds.), Encyclopedia of Statistics in Quality and Reliability. John Wiley & Sons, Chichester, p.1. https://doi.org/10.1002/9780470061572.eqr089
4. Bidar B, Sadeghi J, Shahraki F, et al., 2017. Data-driven soft sensor approach for online quality prediction using state dependent parameter models. Chemom Intell Lab Syst, 162:130–141. https://doi.org/10.1016/j.chemolab.2017.01.004
5. Bishop CM, 1998. Latent variable models. In: Jordan MI (Ed.), Learning in Graphical Models. MIT Press, Cambridge, p.371–403.
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