P1.9.22 An Electronic Nose Recognition Algorithm Based on PCA-ICA Preprocessing and Fuzzy Neural Network

Weiping Yan, Zhenan Tang, Jun Yang & Guangfen Wei
To improve the recognition performance of electronic noses detecting gas mixtures, a PCA-ICA signal preprocessing and fuzzy neural network based recognition algorithm is proposed. In this approach, signals of electronic noses are firstly preprocessed effectively by combination of Principal Component Analysis (PCA) and Independent Component Analysis (ICA), and then processed with a fuzzy Takagi- Sugeno system integrated with multi neural networks for the purpose of quantification of gas concentrations. Experiment results show that the alcohol...