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
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
Journal title :
Analytica Chimica Acta