• Title of article

    Smoothed window factor analysis Original Research Article

  • Author/Authors

    Zeng-Ping Chen، نويسنده , , Jianhui Jiang، نويسنده , , Yang Li، نويسنده , , Hai-Ling Shen، نويسنده , , Yi-Zeng Liag، نويسنده , , Ru-Qin Yu، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 1999
  • Pages
    14
  • From page
    233
  • To page
    246
  • Abstract
    A smoothed window factor analysis (SWFA) based on smoothed principal component analysis (SPCA) is developed. The new method proposed possesses some attractive advantages over common window factor analysis (WFA). It can increase signal to noise ratio. The results of the simulated and real experiments showed SWFA can still perform well under the situations when the spectra of chemical compounds are very similar to each other, and there exist minor components or the signal to noise ratio is very low.
  • Keywords
    Forward selection , Feature selection , PCA , PLS , Sensor array , Electronic nose , Gas sensor , ANN
  • Journal title
    Analytica Chimica Acta
  • Serial Year
    1999
  • Journal title
    Analytica Chimica Acta
  • Record number

    1027405