Identification of tea storage times by linear discrimination analysis and back-propagation neural network techniques based on the eigenvalues of principal components analysis of e-nose sensor signals
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A Framework for the Multi-Level Fusion of Electronic Nose and Electronic Tongue for Tea Quality AssessmentAn efficient direction field-based method for the detection of fasteners on high-speed railwaysComparative analysis of volatiles difference of Yunnan sun-dried Pu-erh green tea from different tea mountains: Jingmai and Wuliang mountain by chemical fingerprint similarity combined with principal component analysis and cluster analysisPattern classification using an olfactory model with PCA feature selection in electronic noses: study and application.Comparison of SVM, RF and ELM on an Electronic Nose for the Intelligent Evaluation of Paraffin Samples.Qualitative and quantitative analysis of fatty acid profiles of Chinese pecans (Carya cathayensis) during storage using an electronic nose combined with chemometric methods
P2860
Identification of tea storage times by linear discrimination analysis and back-propagation neural network techniques based on the eigenvalues of principal components analysis of e-nose sensor signals
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2009 nî lūn-bûn
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2009年の論文
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2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
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2009年论文
@zh-cn
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Identification of tea storage ...... lysis of e-nose sensor signals
@ast
Identification of tea storage ...... lysis of e-nose sensor signals
@en
type
label
Identification of tea storage ...... lysis of e-nose sensor signals
@ast
Identification of tea storage ...... lysis of e-nose sensor signals
@en
prefLabel
Identification of tea storage ...... lysis of e-nose sensor signals
@ast
Identification of tea storage ...... lysis of e-nose sensor signals
@en
P2093
P2860
P356
P1433
P1476
Identification of tea storage ...... lysis of e-nose sensor signals
@en
P2093
Huichun Yu
Yongwei Wang
P2860
P304
P356
10.3390/S91008073
P407
P577
2009-10-14T00:00:00Z