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Electronic nose and data analysis for detection of m
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2008-05-30 00:00 240阅读次数
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Electronic nose and data analysis for detection of m
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Electronic nose and data analysis for detection of m Electronic nose and data analysis for detection of m[详细]
2008-05-30 00:00
期刊论文
Electronic nosedata analysis for detection of mai an!°electronicnose!±hasbeenusedforthedetectionofadulterationsofsesameoil.thesystem,comprising10metaloxidesemiconductsensors,wasusedtogenerateapatternofthevolatilecompoundspresentinthesamples.priortodifferentsupervisedpatternrecognitiontreatments,featureextractiontechniqueswereemployedtochooseasetofoptimaldiscriminantvariables.principalcomponentanalysispca,fisherlineartransformationflt,stepwiselineardiscriminantanalysisstep-lda,se-lectionbyfisherweightssfwwereused,respectively.andthen,lineardiscriminantanalysislda,probabilisticneuralnetworkspnn,backpropagationneuralnetworksbpnnandgeneralregressionneuralnetworkgrnnwereappliedaspatternrecognitiontechniquesfortheelectronicnose.asforldaandpnn,fltwasthemosteffectivefeatureextractionmethod,whilestep-ldawasthemosteffectivewayforbpnnandfltwasmoresuitableforgrnn.withonlyonesamplemisclassi?edinourexperiment,ldaismorepowerfulthanpnn.excellentresultswereobtainedinthepredictionofpercentageofadulterationinsesameoilbybpnnandgrnn.aftertrainingforsometime,bpnncouldpredicttheadulterationquantitativelymorepreciselythangrnn,whereaswithfltasitsfeatureextractionmethodandwithoutiterativetraining,grnncouldalsoyieldratheracceptableresults.?2006elsevierb.v.allrightsreserved.[详细]
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Evaluation of tomato maturity by electronic nose Evaluation of tomato maturity by electronic nose[详细]
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期刊论文
Electronic nose technique potential monitoring ma overthepastyears,electronicnosetechnologyopenedthepossibilitytoexploitinformationonbehavioraromatoassessfruitripeningstage.theob-jectiveinthisstudywastoevaluatethecapacityofelectronicnosetomonitoringthechangeinvolatileproductionofmandarinduringdifferentpicking-date,usingaspeci?celectronicnosedevicepen2.principalcomponentanalysispcaandlineardiscriminantanalysisldawereusedinordertoinvestigatewhethertheelectronicnosewasabletodistinguishamongdifferentpicking-dateripenessstates.theloadingsanalysiswasusedtoidentifythesensorsresponsiblefordiscriminationinthecurrentpattern?le.theresultsobtainedprovethattheelectronicnosepen2candiscriminatesuccessfullydifferentpicking-dateonmandarinusingldaanalysis.but,electronicnosewasnotabletodetectacleardifferenceinvolatilepro?leonmandarinusingpcaanalysis.duringexternalvalidationusingldawasobtainedtoclassi?ed92%ofthetotalsamplesproperly.somesensorshavethehighestin?uenceinthecurrentpattern?leforelectronicnosepen2.asubsetoffewsensorscanbechosentoexplainallthevariance.thisresultcouldbeusedinfurtherstudiestooptimizethenumberofsensors.[详细]
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Electronic nose and data analysis for detection of m
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