MyJournals Home  

RSS FeedsSensors, Vol. 18, Pages 3387: Odor Fingerprint Analysis Using Feature Mining Method Based on Olfactory Sensory Evaluation (Sensors)

 
 

13 october 2018 20:01:18

 
Sensors, Vol. 18, Pages 3387: Odor Fingerprint Analysis Using Feature Mining Method Based on Olfactory Sensory Evaluation (Sensors)
 




In this paper, we aim to use odor fingerprint analysis to identify and detect various odors. We obtained the olfactory sensory evaluation of eight different brands of Chinese liquor by a lab-developed intelligent nose. From the respective combination of the time domain and frequency domain, we extract features to reflect the samples comprehensively. However, the extracted feature combined time domain and frequency domain will bring redundant information that affects performance. Therefore, we proposed data by Principal Component Analysis (PCA) and Variable Importance Projection (VIP) to delete redundant information to construct a more precise odor fingerprint. Then, Random Forest (RF) and Probabilistic Neural Network (PNN) were built based on the above. Results showed that the VIP-based models achieved better classification performance than PCA-based models. In addition, the peak performance (92.5%) of the VIP-RF model had a higher classification rate than the VIP-PNN model (90%). In conclusion, odor fingerprint analysis using a feature mining method based on the olfactory sensory evaluation can be applied to monitor product quality in the actual process of industrialization.


Del.icio.us Digg Facebook Google StumbleUpon Twitter
 
12 viewsCategory: Chemistry, Physics
 
Sensors, Vol. 18, Pages 3388: A Joint Space-Time Array for Communication Signals-Based on a Moving Platform and Performance Analysis (Sensors)
Sensors, Vol. 18, Pages 3386: Multi-Target Detection Method Based on Variable Carrier Frequency Chirp Sequence (Sensors)
 
 
blog comments powered by Disqus


MyJournals.org
The latest issues of all your favorite science journals on one page

Username:
Password:

Register | Retrieve

Search:

Physics

Use these buttons to bookmark us:
Del.icio.us Digg Facebook Google StumbleUpon Twitter


Valid HTML 4.01 Transitional
Copyright © 2008 - 2018 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Travel Photos Nachrichten Indigonet Finances Leer Mandarijn