@article{(Open Science Index):https://publications.waset.org/pdf/7067,
	  title     = {Chilean Wines Classification based only on Aroma Information},
	  author    = {Nicolás H. Beltrán and  Manuel A. Duarte-Mermoud and  Víctor A. Soto and  Sebastián A. Salah and  and
Matías A. Bustos},
	  country	= {},
	  institution	= {},
	  abstract     = {Results of Chilean wine classification based on the
information provided by an electronic nose are reported in this paper.
The classification scheme consists of two parts; in the first stage,
Principal Component Analysis is used as feature extraction method to
reduce the dimensionality of the original information. Then, Radial
Basis Functions Neural Networks is used as pattern recognition
technique to perform the classification. The objective of this study is
to classify different Cabernet Sauvignon, Merlot and Carménère wine
samples from different years, valleys and vineyards of Chile.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {1},
	  number    = {12},
	  year      = {2007},
	  pages     = {4049 - 4054},
	  ee        = {https://publications.waset.org/pdf/7067},
	  url   	= {https://publications.waset.org/vol/12},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 12, 2007},
	}