Multiscale Latent Variable Regression
Multiscale wavelet-based representation of data has been shown to be a powerful tool in feature extraction from practical process data. In this paper, this characteristic of multiscale representation is utilized to improve the prediction accuracy of some of the latent variable regression models, suc...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2010-01-01
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Series: | International Journal of Chemical Engineering |
Online Access: | http://dx.doi.org/10.1155/2010/935315 |
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