Feature extraction of electronic nose for classification of indoor pollution gases based on kernel entropy component analysis
IJISTA, Volume 16, Issue 2, 2017, Pages 140-152.
Feature extraction is important for electronic nose E-nose, when it is used to classify different gases or odours. A novel feature extraction technique of E-nose based on kernel entropy component analysis KECA is presented in this paper. KECA is integrated with Renyi entropy and extracts the features from the kernel Hilbert space by proje...更多
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