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Carbon sink price prediction based on radial basis kernel function support vector machine regression model.

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Title: Carbon sink price prediction based on radial basis kernel function support vector machine regression model.
Authors: Yang, Xing1,2,3, Mi, Jun-long2,3, mijl@gcu.edu.cn, Jiang, Jin4, Li, Jia-wen2,3, Zhang, Quan-shen2,3, Geng, Meng-meng1
Source: International Journal of Low Carbon Technologies; 2022, Vol. 17, p1075-1084, 10p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 161475194
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Carbon sink price prediction based on radial basis kernel function support vector machine regression model.
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  Data: <searchLink fieldCode="AU" term="%22Yang%2C+Xing%22">Yang, Xing</searchLink><relatesTo>1,2,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Mi%2C+Jun-long%22">Mi, Jun-long</searchLink><relatesTo>2,3</relatesTo>, <i>mijl@gcu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Jiang%2C+Jin%22">Jiang, Jin</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Jia-wen%22">Li, Jia-wen</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Quan-shen%22">Zhang, Quan-shen</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Geng%2C+Meng-meng%22">Geng, Meng-meng</searchLink><relatesTo>1</relatesTo>
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=161475194
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1093/ijlct/ctac088
    Languages:
      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 1075
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      – TitleFull: Carbon sink price prediction based on radial basis kernel function support vector machine regression model.
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            NameFull: Yang, Xing
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            NameFull: Mi, Jun-long
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            NameFull: Jiang, Jin
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            NameFull: Li, Jia-wen
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            NameFull: Zhang, Quan-shen
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            NameFull: Geng, Meng-meng
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          Dates:
            – D: 01
              M: 01
              Text: 2022
              Type: published
              Y: 2022
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              Value: 17
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            – TitleFull: International Journal of Low Carbon Technologies
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