Pattern recognition methods for SAW sensor array based electronic nose

摘要

The paper presents an analysis of several preprocessing, feature extraction and classification methods in combination for yielding optimum performance for SAW sensors array based electronic nose systems. It is found that the combination of logarithmic data preprocessing, linear discriminant analysis based feature extraction and support vector machine based classification yields optimum results.