Discrimination of Different Species of Dendrobium with an Electronic Nose Using Aggregated Conformal Predictor

A method using electronic nose to discriminate 10 different species of dendrobium, which is a kind of precious herb with medicinal application, was developed with high efficiency and low cost. A framework named aggregated conformal prediction was applied to make predictions with accuracy and reliabi...
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Autor*in:	You Wang [verfasserIn] Zhan Wang [verfasserIn] Junwei Diao [verfasserIn] Xiyang Sun [verfasserIn] Zhiyuan Luo [verfasserIn] Guang Li [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	dendrobium conformal prediction electronic nose aggregated

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 19(2019), 4, p 964
Übergeordnetes Werk:	volume:19 ; year:2019 ; number:4, p 964

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/s19040964

Katalog-ID:	DOAJ079277101

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allfields	10.3390/s19040964 doi (DE-627)DOAJ079277101 (DE-599)DOAJ3aa00bf3ee5a40f0bf24de2e63135472 DE-627 ger DE-627 rakwb eng TP1-1185 You Wang verfasserin aut Discrimination of Different Species of Dendrobium with an Electronic Nose Using Aggregated Conformal Predictor 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A method using electronic nose to discriminate 10 different species of dendrobium, which is a kind of precious herb with medicinal application, was developed with high efficiency and low cost. A framework named aggregated conformal prediction was applied to make predictions with accuracy and reliability for E-nose detection. This method achieved a classification accuracy close to 80% with an average improvement of 6.2% when compared with the results obtained by using traditional inductive conformal prediction. It also provided reliability assessment to show more comprehensive information for each prediction. Meanwhile, two main indicators of conformal predictor, validity and efficiency, were also compared and discussed in this work. The result shows that the approach integrating electronic nose with aggregated conformal prediction to classify the species of dendrobium with reliability and validity is promising. dendrobium conformal prediction electronic nose aggregated Chemical technology Zhan Wang verfasserin aut Junwei Diao verfasserin aut Xiyang Sun verfasserin aut Zhiyuan Luo verfasserin aut Guang Li verfasserin aut In Sensors MDPI AG, 2003 19(2019), 4, p 964 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:19 year:2019 number:4, p 964 https://doi.org/10.3390/s19040964 kostenfrei https://doaj.org/article/3aa00bf3ee5a40f0bf24de2e63135472 kostenfrei https://www.mdpi.com/1424-8220/19/4/964 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 19 2019 4, p 964
spelling	10.3390/s19040964 doi (DE-627)DOAJ079277101 (DE-599)DOAJ3aa00bf3ee5a40f0bf24de2e63135472 DE-627 ger DE-627 rakwb eng TP1-1185 You Wang verfasserin aut Discrimination of Different Species of Dendrobium with an Electronic Nose Using Aggregated Conformal Predictor 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A method using electronic nose to discriminate 10 different species of dendrobium, which is a kind of precious herb with medicinal application, was developed with high efficiency and low cost. A framework named aggregated conformal prediction was applied to make predictions with accuracy and reliability for E-nose detection. This method achieved a classification accuracy close to 80% with an average improvement of 6.2% when compared with the results obtained by using traditional inductive conformal prediction. It also provided reliability assessment to show more comprehensive information for each prediction. Meanwhile, two main indicators of conformal predictor, validity and efficiency, were also compared and discussed in this work. The result shows that the approach integrating electronic nose with aggregated conformal prediction to classify the species of dendrobium with reliability and validity is promising. dendrobium conformal prediction electronic nose aggregated Chemical technology Zhan Wang verfasserin aut Junwei Diao verfasserin aut Xiyang Sun verfasserin aut Zhiyuan Luo verfasserin aut Guang Li verfasserin aut In Sensors MDPI AG, 2003 19(2019), 4, p 964 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:19 year:2019 number:4, p 964 https://doi.org/10.3390/s19040964 kostenfrei https://doaj.org/article/3aa00bf3ee5a40f0bf24de2e63135472 kostenfrei https://www.mdpi.com/1424-8220/19/4/964 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 19 2019 4, p 964
allfields_unstemmed	10.3390/s19040964 doi (DE-627)DOAJ079277101 (DE-599)DOAJ3aa00bf3ee5a40f0bf24de2e63135472 DE-627 ger DE-627 rakwb eng TP1-1185 You Wang verfasserin aut Discrimination of Different Species of Dendrobium with an Electronic Nose Using Aggregated Conformal Predictor 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A method using electronic nose to discriminate 10 different species of dendrobium, which is a kind of precious herb with medicinal application, was developed with high efficiency and low cost. A framework named aggregated conformal prediction was applied to make predictions with accuracy and reliability for E-nose detection. This method achieved a classification accuracy close to 80% with an average improvement of 6.2% when compared with the results obtained by using traditional inductive conformal prediction. It also provided reliability assessment to show more comprehensive information for each prediction. Meanwhile, two main indicators of conformal predictor, validity and efficiency, were also compared and discussed in this work. The result shows that the approach integrating electronic nose with aggregated conformal prediction to classify the species of dendrobium with reliability and validity is promising. dendrobium conformal prediction electronic nose aggregated Chemical technology Zhan Wang verfasserin aut Junwei Diao verfasserin aut Xiyang Sun verfasserin aut Zhiyuan Luo verfasserin aut Guang Li verfasserin aut In Sensors MDPI AG, 2003 19(2019), 4, p 964 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:19 year:2019 number:4, p 964 https://doi.org/10.3390/s19040964 kostenfrei https://doaj.org/article/3aa00bf3ee5a40f0bf24de2e63135472 kostenfrei https://www.mdpi.com/1424-8220/19/4/964 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 19 2019 4, p 964
allfieldsGer	10.3390/s19040964 doi (DE-627)DOAJ079277101 (DE-599)DOAJ3aa00bf3ee5a40f0bf24de2e63135472 DE-627 ger DE-627 rakwb eng TP1-1185 You Wang verfasserin aut Discrimination of Different Species of Dendrobium with an Electronic Nose Using Aggregated Conformal Predictor 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A method using electronic nose to discriminate 10 different species of dendrobium, which is a kind of precious herb with medicinal application, was developed with high efficiency and low cost. A framework named aggregated conformal prediction was applied to make predictions with accuracy and reliability for E-nose detection. This method achieved a classification accuracy close to 80% with an average improvement of 6.2% when compared with the results obtained by using traditional inductive conformal prediction. It also provided reliability assessment to show more comprehensive information for each prediction. Meanwhile, two main indicators of conformal predictor, validity and efficiency, were also compared and discussed in this work. The result shows that the approach integrating electronic nose with aggregated conformal prediction to classify the species of dendrobium with reliability and validity is promising. dendrobium conformal prediction electronic nose aggregated Chemical technology Zhan Wang verfasserin aut Junwei Diao verfasserin aut Xiyang Sun verfasserin aut Zhiyuan Luo verfasserin aut Guang Li verfasserin aut In Sensors MDPI AG, 2003 19(2019), 4, p 964 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:19 year:2019 number:4, p 964 https://doi.org/10.3390/s19040964 kostenfrei https://doaj.org/article/3aa00bf3ee5a40f0bf24de2e63135472 kostenfrei https://www.mdpi.com/1424-8220/19/4/964 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 19 2019 4, p 964
allfieldsSound	10.3390/s19040964 doi (DE-627)DOAJ079277101 (DE-599)DOAJ3aa00bf3ee5a40f0bf24de2e63135472 DE-627 ger DE-627 rakwb eng TP1-1185 You Wang verfasserin aut Discrimination of Different Species of Dendrobium with an Electronic Nose Using Aggregated Conformal Predictor 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A method using electronic nose to discriminate 10 different species of dendrobium, which is a kind of precious herb with medicinal application, was developed with high efficiency and low cost. A framework named aggregated conformal prediction was applied to make predictions with accuracy and reliability for E-nose detection. This method achieved a classification accuracy close to 80% with an average improvement of 6.2% when compared with the results obtained by using traditional inductive conformal prediction. It also provided reliability assessment to show more comprehensive information for each prediction. Meanwhile, two main indicators of conformal predictor, validity and efficiency, were also compared and discussed in this work. The result shows that the approach integrating electronic nose with aggregated conformal prediction to classify the species of dendrobium with reliability and validity is promising. dendrobium conformal prediction electronic nose aggregated Chemical technology Zhan Wang verfasserin aut Junwei Diao verfasserin aut Xiyang Sun verfasserin aut Zhiyuan Luo verfasserin aut Guang Li verfasserin aut In Sensors MDPI AG, 2003 19(2019), 4, p 964 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:19 year:2019 number:4, p 964 https://doi.org/10.3390/s19040964 kostenfrei https://doaj.org/article/3aa00bf3ee5a40f0bf24de2e63135472 kostenfrei https://www.mdpi.com/1424-8220/19/4/964 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 19 2019 4, p 964
language	English
source	In Sensors 19(2019), 4, p 964 volume:19 year:2019 number:4, p 964
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callnumber-first	T - Technology
author	You Wang
spellingShingle	You Wang misc TP1-1185 misc dendrobium misc conformal prediction misc electronic nose misc aggregated misc Chemical technology Discrimination of Different Species of Dendrobium with an Electronic Nose Using Aggregated Conformal Predictor
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topic_title	TP1-1185 Discrimination of Different Species of Dendrobium with an Electronic Nose Using Aggregated Conformal Predictor dendrobium conformal prediction electronic nose aggregated
topic	misc TP1-1185 misc dendrobium misc conformal prediction misc electronic nose misc aggregated misc Chemical technology
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title	Discrimination of Different Species of Dendrobium with an Electronic Nose Using Aggregated Conformal Predictor
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title_sort	discrimination of different species of dendrobium with an electronic nose using aggregated conformal predictor
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title_auth	Discrimination of Different Species of Dendrobium with an Electronic Nose Using Aggregated Conformal Predictor
abstract	A method using electronic nose to discriminate 10 different species of dendrobium, which is a kind of precious herb with medicinal application, was developed with high efficiency and low cost. A framework named aggregated conformal prediction was applied to make predictions with accuracy and reliability for E-nose detection. This method achieved a classification accuracy close to 80% with an average improvement of 6.2% when compared with the results obtained by using traditional inductive conformal prediction. It also provided reliability assessment to show more comprehensive information for each prediction. Meanwhile, two main indicators of conformal predictor, validity and efficiency, were also compared and discussed in this work. The result shows that the approach integrating electronic nose with aggregated conformal prediction to classify the species of dendrobium with reliability and validity is promising.
abstractGer	A method using electronic nose to discriminate 10 different species of dendrobium, which is a kind of precious herb with medicinal application, was developed with high efficiency and low cost. A framework named aggregated conformal prediction was applied to make predictions with accuracy and reliability for E-nose detection. This method achieved a classification accuracy close to 80% with an average improvement of 6.2% when compared with the results obtained by using traditional inductive conformal prediction. It also provided reliability assessment to show more comprehensive information for each prediction. Meanwhile, two main indicators of conformal predictor, validity and efficiency, were also compared and discussed in this work. The result shows that the approach integrating electronic nose with aggregated conformal prediction to classify the species of dendrobium with reliability and validity is promising.
abstract_unstemmed	A method using electronic nose to discriminate 10 different species of dendrobium, which is a kind of precious herb with medicinal application, was developed with high efficiency and low cost. A framework named aggregated conformal prediction was applied to make predictions with accuracy and reliability for E-nose detection. This method achieved a classification accuracy close to 80% with an average improvement of 6.2% when compared with the results obtained by using traditional inductive conformal prediction. It also provided reliability assessment to show more comprehensive information for each prediction. Meanwhile, two main indicators of conformal predictor, validity and efficiency, were also compared and discussed in this work. The result shows that the approach integrating electronic nose with aggregated conformal prediction to classify the species of dendrobium with reliability and validity is promising.
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title_short	Discrimination of Different Species of Dendrobium with an Electronic Nose Using Aggregated Conformal Predictor
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Discrimination of Different Species of Dendrobium with an Electronic Nose Using Aggregated Conformal Predictor

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