Feature Extraction of Electronic Nose Signals Using QPSO-Based Multiple KFDA Signal Processing
نویسندگان
چکیده
منابع مشابه
Feature Extraction of Electronic Nose Signals Using QPSO-Based Multiple KFDA Signal Processing
The aim of this research was to enhance the classification accuracy of an electronic nose (E-nose) in different detecting applications. During the learning process of the E-nose to predict the types of different odors, the prediction accuracy was not quite satisfying because the raw features extracted from sensors' responses were regarded as the input of a classifier without any feature extract...
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ژورنال
عنوان ژورنال: Sensors
سال: 2018
ISSN: 1424-8220
DOI: 10.3390/s18020388