Bayesian neural network with efficient priors for online quality prediction
In process industries, neural networks are popular models for quality prediction due to their superiorities on dealing with nonlinearity and high dimensionality of process data. However, small sample size of online data will result in epistemic uncertainty of prediction model, so neural networks wit...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-03-01
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Series: | Digital Chemical Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2772508121000089 |