Experimentation of Detecting the Talc-Containing Wheat Flour in Solution by Near Infrared Spectroscopy

Do quantitative detection of talc-containing wheat flour using near infrared spectroscopy combined with BP neural network.Confect 50samples by adulterating talc to wheat flour,randomly selected nine samples as the prediction samples, formulated10 talc-free flour samples for qualitative analysis.The...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 330; pp. 426 - 429
Main Authors Wu, Jing Zhu, Sun, Xiao Rong, Liu, Cui Ling, Wu, Sheng Nan, Dong, Xiu Li
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.06.2013
Subjects
Talcum Powder
BP Neural Network (BPNN)
NIR
Wheat Flour
Cluster Analysis
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Summary:Do quantitative detection of talc-containing wheat flour using near infrared spectroscopy combined with BP neural network.Confect 50samples by adulterating talc to wheat flour,randomly selected nine samples as the prediction samples, formulated10 talc-free flour samples for qualitative analysis.The results show that:BP neural network combined with NIR for the determination of talc-containing flour is ideal, can be used for talc-containing flour; the result of cluster analysis should that it need to seek better methods for talc-containing wheat flour.
Bibliography:Selected, peer reviewed papers from the 2nd International Conference on Materials Engineering and Automatic Control (ICMEAC 2013), May 18-19, 2013, Shandong, China
ISBN:9783037857250
3037857250
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.330.426