Application of principal component-radial basis function neural networks (PC-RBFNN) for the detection of water-adulterated bayberry juice by near-infrared spectroscopy

Title
Application of principal component-radial basis function neural networks (PC-RBFNN) for the detection of water-adulterated bayberry juice by near-infrared spectroscopy
Authors
Keywords
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Journal
Journal of Zhejiang University-SCIENCE B
Volume 9, Issue 12, Pages 982-989
Publisher
Zhejiang University Press
Online
2008-12-03
DOI
10.1631/jzus.b0820057

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