Signal preprocessing and fuzzy neural network algorithm for recognition of electronic nose

Aimed to the analysis of the neural network and the fuzzy logic of the pattern recognition technique, research combined PCA with ICA was presented to realize signal preprocessing, it effectively utilized both advantages and was used to the electronics nose signal preprocessing. Takagi-Sugeno fuzzy logic system based on Neural Networks was used to recognize the alcoholpsilas quantitative of the multi-gas. The results prove that the signal preprocessing techniques and the fuzzy network algorithm could improve the identification of the electronics nose.