Application of Electronic Nose Technology in Moldy Foodstuff Recognition

The foodstuff is moldy or not often evaluated by people's nose,the accuracy of evaluated results is hard to be guaranteed.To the problem,used a thick tin oxide gas sensor array that was designed by themselves,picked up the feature parameters of the sensor acted with gas after getting the whole acting process data.Principal component analysis(PCA)and artificial neural network(ANN)were used to analysis the feature parameters,PCA was failure and ANN was successful.The recognition probability of the ANN is 9219%.