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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-02-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/19/4/964 |
| _version_ | 1798041780889845760 |
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| author | You Wang Zhan Wang Junwei Diao Xiyang Sun Zhiyuan Luo Guang Li |
| author_facet | You Wang Zhan Wang Junwei Diao Xiyang Sun Zhiyuan Luo Guang Li |
| author_sort | You Wang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T22:26:24Z |
| format | Article |
| id | doaj.art-3aa00bf3ee5a40f0bf24de2e63135472 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:26:24Z |
| publishDate | 2019-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-3aa00bf3ee5a40f0bf24de2e631354722022-12-22T03:59:39ZengMDPI AGSensors1424-82202019-02-0119496410.3390/s19040964s19040964Discrimination of Different Species of Dendrobium with an Electronic Nose Using Aggregated Conformal PredictorYou Wang0Zhan Wang1Junwei Diao2Xiyang Sun3Zhiyuan Luo4Guang Li5State Key Laboratory of Industrial Control Technology, Institute of Cyber Systems and Control, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Industrial Control Technology, Institute of Cyber Systems and Control, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Industrial Control Technology, Institute of Cyber Systems and Control, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Industrial Control Technology, Institute of Cyber Systems and Control, Zhejiang University, Hangzhou 310027, ChinaComputer Learning Research Centre, Royal Holloway, University of London, Egham Hill, Egham, Surrey TW20 0EX, UKState Key Laboratory of Industrial Control Technology, Institute of Cyber Systems and Control, Zhejiang University, Hangzhou 310027, ChinaA 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.https://www.mdpi.com/1424-8220/19/4/964dendrobiumconformal predictionelectronic noseaggregated |
| spellingShingle | You Wang Zhan Wang Junwei Diao Xiyang Sun Zhiyuan Luo Guang Li Discrimination of Different Species of Dendrobium with an Electronic Nose Using Aggregated Conformal Predictor Sensors dendrobium conformal prediction electronic nose aggregated |
| title | Discrimination of Different Species of Dendrobium with an Electronic Nose Using Aggregated Conformal Predictor |
| title_full | Discrimination of Different Species of Dendrobium with an Electronic Nose Using Aggregated Conformal Predictor |
| title_fullStr | Discrimination of Different Species of Dendrobium with an Electronic Nose Using Aggregated Conformal Predictor |
| title_full_unstemmed | Discrimination of Different Species of Dendrobium with an Electronic Nose Using Aggregated Conformal Predictor |
| title_short | Discrimination of Different Species of Dendrobium with an Electronic Nose Using Aggregated Conformal Predictor |
| title_sort | discrimination of different species of dendrobium with an electronic nose using aggregated conformal predictor |
| topic | dendrobium conformal prediction electronic nose aggregated |
| url | https://www.mdpi.com/1424-8220/19/4/964 |
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