POP-CNN: Predicting Odor Pleasantness With Convolutional Neural Network

Predicting odor's pleasantness with electronic nose can simplify the evaluation process of odors, and it has potential applications in the perfumes and environmental monitoring industry. Classical algorithms for predicting odor's pleasantness generally use a manual feature extractor and an...

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Veröffentlicht in:	IEEE sensors journal 2019-12, Vol.19 (23), p.11337-11345
Hauptverfasser:	Wu, Danli, Luo, Dehan, Wong, Kin-Yeung, Hung, Kevin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Convolutional neural network electronic nose Electronic noses Environmental monitoring Feature extraction Medical diagnostic imaging Model accuracy Neural networks Odors Olfactory Perfumes predicting pleasantness Prediction algorithms Predictive models Sensor phenomena and characterization
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