Pattern classification using an olfactory model with PCA feature selection in electronic noses: study and application

scientific article published on March 2012

Pattern classification using an olfactory model with PCA feature selection in electronic noses: study and application is …
instance of (P31):
scholarly articleQ13442814

External links are
P8978DBLP publication IDjournals/sensors/FuHXZ12
P356DOI10.3390/S120302818
P932PMC publication ID3376605
P698PubMed publication ID22736979
P5875ResearchGate publication ID228071789

P2093author name stringJun Fu
Jianguo Xing
Junbao Zheng
Canqin Huang
P2860cites workApplication of biologically modeled chaotic neural network to pattern recognition in artificial olfaction.Q51070811
Nonlinear gain mediating cortical stimulus-response relationsQ52773328
Habituation in the KIII olfactory model with chemical sensor arraysQ80618323
Electronic nose: current status and future trendsQ28265278
Electronic noses and tongues: applications for the food and pharmaceutical industriesQ30472307
Electronic tongues and their analytical application.Q34665249
Hazardous Odor Recognition by CMAC Based Neural NetworksQ35790494
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 signalsQ35796181
Bioinspired sensor systemsQ43073613
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue3
P407language of work or nameEnglishQ1860
P921main subjectfeature selectionQ446488
electronic noseQ550092
P304page(s)2818-2830
P577publication date2012-03-01
P1433published inSensorsQ3478643
P1476titlePattern classification using an olfactory model with PCA feature selection in electronic noses: study and application
P478volume12

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cites work (P2860)
Q38606539A critical review on the applications of artificial neural networks in winemaking technology
Q36858119A novel low-cost sensor prototype for monitoring temperature during wine fermentation in tanks
Q48218563Comparison of SVM, RF and ELM on an Electronic Nose for the Intelligent Evaluation of Paraffin Samples.
Q30453866Diverse applications of electronic-nose technologies in agriculture and forestry
Q38654936Mining Feature of Data Fusion in the Classification of Beer Flavor Information Using E-Tongue and E-Nose
Q35971859Optimal Sensor Selection for Classifying a Set of Ginsengs Using Metal-Oxide Sensors
Q37145527Valid Probabilistic Predictions for Ginseng with Venn Machines Using Electronic Nose

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