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A novel variable selection method based on combined moving window and intelligent optimization algorithm for variable selection in chemical modeling.
Zhang, Pengfei; Xu, Zhuopin; Wang, Qi; Fan, Shuang; Cheng, Weimin; Wang, Haiping; Wu, Yuejin.
  • Zhang P; Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China.
  • Xu Z; Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; University of Science and Technology of China, Hefei 230026, China.
  • Wang Q; Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China. Electronic address: wangqi@ipp.ac.cn.
  • Fan S; Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; University of Science and Technology of China, Hefei 230026, China.
  • Cheng W; Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; University of Science and Technology of China, Hefei 230026, China.
  • Wang H; Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; University of Science and Technology of China, Hefei 230026, China.
  • Wu Y; Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China. Electronic address: yjwu@ipp.ac.cn.
Spectrochim Acta A Mol Biomol Spectrosc ; 246: 118986, 2021 Feb 05.
Article en En | MEDLINE | ID: mdl-33032116
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2021 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2021 Tipo del documento: Article