FAN Chao-qun1, ZHANG Shun-ping1, ZHAN Qiong1, et al. Feature extraction and its application in recognizing of flammable liquids with electronic nose[J]. 2007, (8): 108-110+113.
FAN Chao-qun1, ZHANG Shun-ping1, ZHAN Qiong1, et al. Feature extraction and its application in recognizing of flammable liquids with electronic nose[J]. 2007, (8): 108-110+113. DOI: 10.13873/j.1000-97872007.08.028.
Six TGS sensor array used to identify four common flammable liquids and three kinds of drink with four typical feature extraction techniques and three pattern recognition methods are reported.The four feature extraction techniques involve principle component analysis(PCA)
Fisher discriminant analysis(FDA)
self-organizing mapping(SOM) and Sammon map.The result shows that the flammable species and the incombustible species can be well distinguished under each of the four feature extraction methods
while the species of samples can only be well identified under the method of FDA.The best dimension of object space depends on the feature extraction techniques
while the best pattern recognition technique has close relationship with the data sets.
Feature extraction and dimensionality reduction algorithms and their applications in vowel recognition [J] . Xuechuan Wang,Kuldip K. Paliwal. Pattern Recognition . 2003 (10)
Optimisation of electronic nose measurements. Part I: Methodology of output feature selection [J] . Sylvie Roussel,Gustaf Forsberg,Vincent Steinmetz,Pierre Grenier,Véronique Bellon-Maurel. Journal of Food Engineering . 1998 (2)