« Previous
Next »
Journal of Dairy Science
Volume 91, Issue 3
, Pages
939-949
, March 2008
Short-Wave Near-Infrared Spectroscopy of Milk Powder for Brand Identification and Component Analysis
-
Correlation between predicted and measured values for fat content for the prediction set obtained by the least squares support vector machine process.
Correlation between predicted and measured values for fat content for the prediction set obtained by the least squares support vector machine process.
-
Correlation between predicted and measured values for protein content for the prediction set obtained by the least squares support vector machine process.
Correlation between predicted and measured values for protein content for the prediction set obtained by the least squares support vector machine process.
-
Correlation between predicted and measured values for carbohydrate content for the prediction set obtained by the least squares support vector machine process.
Correlation between predicted and measured values for carbohydrate content for the prediction set obtained by the least squares support vector machine process.
PII: S0022-0302(08)71349-3
doi: 10.3168/jds.2007-0640
© 2008 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.
« Previous
Next »
Journal of Dairy Science
Volume 91, Issue 3
, Pages
939-949
, March 2008
