Classification of edible vegetable oils based on three-dimensional fluorescence spectroscopy and ISSA-SVM
ObjectiveTo improve the classification accuracy of edible vegetable oils, an identification model based on three-dimensional fluorescence spectroscopy and ISSA-SVM was established.MethodsCombining the feature information of three-dimensional fluorescence spectroscopy, an improved sparrow search algo...
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| Format: | Article |
| Language: | English |
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The Editorial Office of Food and Machinery
2024-10-01
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| Series: | Shipin yu jixie |
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| Online Access: | http://www.ifoodmm.com/spyjx/article/abstract/20241008?st=article_issue |
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| author | ZHANG Jing QI Guohong CHEN Jingzhao CAO Xiaoli LI Lili |
| author_facet | ZHANG Jing QI Guohong CHEN Jingzhao CAO Xiaoli LI Lili |
| author_sort | ZHANG Jing |
| collection | DOAJ |
| description | ObjectiveTo improve the classification accuracy of edible vegetable oils, an identification model based on three-dimensional fluorescence spectroscopy and ISSA-SVM was established.MethodsCombining the feature information of three-dimensional fluorescence spectroscopy, an improved sparrow search algorithm was used to optimize the parameters of the SVM model, constructing an edible vegetable oil identification method that integrates the characteristics of three-dimensional fluorescence spectroscopy information and the ISSA-SVM model.ResultsCompared with the SVM model, GA-SVM model, PSO-SVM model, and SSA-SVM model, the classification accuracy of the ISSA-SVM model for edible vegetable oils reached 100%.ConclusionThe ISSA-SVM model has higher convergence efficiency, system stability, and the ability to avoid local optimal solutions, which can effectively cope with complex and variable sample classification tasks. |
| format | Article |
| id | doaj-art-b2f3d17fdadb4fff92ea142d8e2da4f3 |
| institution | DOAJ |
| issn | 1003-5788 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | The Editorial Office of Food and Machinery |
| record_format | Article |
| series | Shipin yu jixie |
| spelling | doaj-art-b2f3d17fdadb4fff92ea142d8e2da4f32025-08-20T02:59:19ZengThe Editorial Office of Food and MachineryShipin yu jixie1003-57882024-10-014010536110.13652/j.spjx.1003.5788.2024.601221003-5788（2024）10-0053-09Classification of edible vegetable oils based on three-dimensional fluorescence spectroscopy and ISSA-SVMZHANG Jing0QI Guohong1CHEN Jingzhao2CAO Xiaoli3LI Lili4Zhengzhou Sias College, Zhengzhou, Henan451100, ChinaZhengzhou Sias College, Zhengzhou, Henan451100, ChinaZhengzhou Sias College, Zhengzhou, Henan451100, ChinaZhengzhou Sias College, Zhengzhou, Henan451100, ChinaHenan Agricultural University, Zhengzhou, Henan450046, ChinaObjectiveTo improve the classification accuracy of edible vegetable oils, an identification model based on three-dimensional fluorescence spectroscopy and ISSA-SVM was established.MethodsCombining the feature information of three-dimensional fluorescence spectroscopy, an improved sparrow search algorithm was used to optimize the parameters of the SVM model, constructing an edible vegetable oil identification method that integrates the characteristics of three-dimensional fluorescence spectroscopy information and the ISSA-SVM model.ResultsCompared with the SVM model, GA-SVM model, PSO-SVM model, and SSA-SVM model, the classification accuracy of the ISSA-SVM model for edible vegetable oils reached 100%.ConclusionThe ISSA-SVM model has higher convergence efficiency, system stability, and the ability to avoid local optimal solutions, which can effectively cope with complex and variable sample classification tasks.http://www.ifoodmm.com/spyjx/article/abstract/20241008?st=article_issuesupport vector machinesparrow search algorithmthree-dimensional fluorescence spectroscopyedible vegetable oils |
| spellingShingle | ZHANG Jing QI Guohong CHEN Jingzhao CAO Xiaoli LI Lili Classification of edible vegetable oils based on three-dimensional fluorescence spectroscopy and ISSA-SVM Shipin yu jixie support vector machine sparrow search algorithm three-dimensional fluorescence spectroscopy edible vegetable oils |
| title | Classification of edible vegetable oils based on three-dimensional fluorescence spectroscopy and ISSA-SVM |
| title_full | Classification of edible vegetable oils based on three-dimensional fluorescence spectroscopy and ISSA-SVM |
| title_fullStr | Classification of edible vegetable oils based on three-dimensional fluorescence spectroscopy and ISSA-SVM |
| title_full_unstemmed | Classification of edible vegetable oils based on three-dimensional fluorescence spectroscopy and ISSA-SVM |
| title_short | Classification of edible vegetable oils based on three-dimensional fluorescence spectroscopy and ISSA-SVM |
| title_sort | classification of edible vegetable oils based on three dimensional fluorescence spectroscopy and issa svm |
| topic | support vector machine sparrow search algorithm three-dimensional fluorescence spectroscopy edible vegetable oils |
| url | http://www.ifoodmm.com/spyjx/article/abstract/20241008?st=article_issue |
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