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Predicting pectin performance strength using near‐infrared spectroscopic data: A comparative evaluation of 1‐D convolutional neural network, partial least squares, and ridge regres...
by
Einarson, Kasper A.
,
Baum, Andreas
,
Olsen, Terkel B.
,
Larsen, Jan
,
Armagan, Ibrahim
,
Santacoloma, Paloma A.
,
Clemmensen, Line K. H.
Published in
Journal of chemometrics
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Journal Of Chemometrics
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Artificial Neural Networks
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Automation & Control Systems
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Chemistry
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Chemistry, Analytical
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Computer Science
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Computer Science, Artificial Intelligence
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Convolutional Neural Networks
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Deep Learning
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Least Squares Method
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Mathematics
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Mathematics, Interdisciplinary Applications
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Modelling
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Multivariate Data Analysis
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Near Infrared Radiation
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Neural Networks
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Pectin
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Performance Prediction
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Physical Properties
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Physical Sciences
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