Application of least-square algorithm to dynamic data fusion of electronic nose

Electronic nose system based on integrated gas sensitive sensors array and multi sensors information fuse technology can be used to identify qualitative and quantitative gas/odor. High effective recognition algorithm and simple device are keys for electronic nose used in practical conditon. Application model of least-square algorithm in simple electronic nose system is introduced. Dynamic response curve of sensor arrays is fitted using linearity least-square method. The electronic nose system forms arepository and do identify intellectually. It can identify different beverages as sprite,Qoo and greentea combining this method with the dynamic responses of electronic nose under different working temperature of sensors. Results show that preciseness ratio of recognition reaches 100%.