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Discrimination of LongJing green-tea grade by ele
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2018-08-16 10:00 3527阅读次数
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AninvestigationwasmadetoevaluatethecapacityofanelectronicnoseE-nose,PEN2toclassifytheteaqualitygrade.FourteagroupsA120,A280,A380andA600withadifferentqualitygradewereemployed.Intheexperiment,thevolumeofvialandtheheadspacegeneratedtimewereconsideredcorrespondingtothe5gteasamples,andtheoptimumexperimentalprocedurewasdeterminedbyusingthevarianceanalysisANOVA,multivarianceanalysisandprinciplecomponentsanalysisPCA.Theresultsshowedthatthevolumeofvialaffectedtheresultofdiscrimination,andtheheadspacegeneratedtimehadnosigni?canteffectontheE-noseresponse.ThefourteagroupsweremeasuredandresponsevaluesatfourdifferentcollectiontimeswereconductedbyPCA,lineardiscriminationanalysisLDAandarti?cialneuralnetworkANN.OnlyA120,A380andA600couldbediscriminatedbyPCA.However,thefourteagroupswerediscriminatedcompletelybyLDA.TheresponsevalueoftheE-noseat60swasoptimumtobeusedfordiscrimination.ThemethodofANNnetworktopology20-12-4wasperformedand90%oftheotalteasampleswereclassi?edcorrectlybyusingtheback-propagationneuralnetwork.?2006ElsevierB.V.Allrightsreserved.
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Discrimination of LongJing green-tea grade by ele
- AninvestigationwasmadetoevaluatethecapacityofanelectronicnoseE-nose,PEN2toclassifytheteaqualitygrade.FourteagroupsA120,A280,A380andA600withadifferentqualitygradewereemployed.Intheexperiment,thevolumeofvialandtheheadspacegeneratedtimewereconsideredcorrespondingtothe5gteasamples,andtheoptimumexperimentalprocedurewasdeterminedbyusingthevarianceanalysisANOVA,multivarianceanalysisandprinciplecomponentsanalysisPCA.Theresultsshowedthatthevolumeofvialaffectedtheresultofdiscrimination,andtheheadspacegeneratedtimehadnosigni?canteffectontheE-noseresponse.ThefourteagroupsweremeasuredandresponsevaluesatfourdifferentcollectiontimeswereconductedbyPCA,lineardiscriminationanalysisLDAandarti?cialneuralnetworkANN.OnlyA120,A380andA600couldbediscriminatedbyPCA.However,thefourteagroupswerediscriminatedcompletelybyLDA.TheresponsevalueoftheE-noseat60swasoptimumtobeusedfordiscrimination.ThemethodofANNnetworktopology20-12-4wasperformedand90%oftheotalteasampleswereclassi?edcorrectlybyusingtheback-propagationneuralnetwork.?2006ElsevierB.V.Allrightsreserved.[详细]
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2018-08-16 10:00
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