Discrimination of tobacco varieties using vis/near infrared spectra by wavelet transform and back propagation neural network model

In order to discriminate quickly varieties of tobacco samples based on vis/near infrared spectroscopy, principal component analysis (PCA) was used to analyze qualitatively the clustering of tobacco samples, and the data compressed by wavelet transform (WT) combined with artificial neural network (AN...

Full description

Saved in:
Bibliographic Details
Main Authors: WANG Zun-yi, SHAO Yong-ni
Format: Article
Language:English
Published: Zhejiang University Press 2009-11-01
Series:浙江大学学报. 农业与生命科学版
Subjects:
Online Access:https://www.academax.com/doi/10.3785/j.issn.1008-9209.2009.06.010
Tags: Add Tag
No Tags, Be the first to tag this record!