Document Detail

Recognition of FT-IR Data Cuscutae Semen, Japanese Dodder, and Sinapis Semen Using Discrete Wavelet Transformation and RBF Networks.
MedLine Citation:
PMID:  24282653     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Horizontal attenuation total reflection Fourier transformation infrared spectroscopy (HATR-FT-IR) studies on cuscutae semen and its confusable varieties Japanese dodder and sinapis semen combined with discrete wavelet transformation (DWT) and radial basis function (RBF) neural networks have been conducted in order to classify them. DWT is used to decompose the FT-IRs of cuscutae semen, Japanese dodder, and sinapis semen. Two main scales are selected as the feature extracting space in the DWT domain. According to the distribution of cuscutae semen, Japanese dodder, and sinapis semen's FT-IRs, three feature regions are determined at detail 3, and two feature regions are determined at detail 4 by selecting two scales in the DWT domain. Thus five feature parameters form the feature vector. The feature vector is input to the RBF neural networks to train so as to accurately classify the cuscutae semen, Japanese dodder, and sinapis semen. 120 sets of FT-IR data are used to train and test the proposed method, where 60 sets of data are used to train samples, and another 60 sets of FT-IR data are used to test samples. Experimental results show that the accurate recognition rate of cuscutae semen, Japanese dodder, and sinapis semen is average of 100.00%, 98.33%, and 100.00%, respectively, following the proposed method.
Tao Hu; Xuexiang Weng; Lishan Xu; Cungui Cheng; Peng Yu
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Publication Detail:
Type:  Journal Article     Date:  2013-10-24
Journal Detail:
Title:  Journal of analytical methods in chemistry     Volume:  2013     ISSN:  2090-8865     ISO Abbreviation:  J Anal Methods Chem     Publication Date:  2013  
Date Detail:
Created Date:  2013-11-27     Completed Date:  2013-11-27     Revised Date:  2013-12-16    
Medline Journal Info:
Nlm Unique ID:  101575377     Medline TA:  J Anal Methods Chem     Country:  United States    
Other Details:
Languages:  eng     Pagination:  853483     Citation Subset:  -    
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