Classification of E-Nose Aroma Data of Four Fruit Types by ABC-Based Neural Network
Author:
Publisher
MDPI AG
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Link
http://www.mdpi.com/1424-8220/16/3/304/pdf
Reference42 articles.
1. Applications and Advances in Electronic-Nose Technologies
2. Diverse Applications of Electronic-Nose Technologies in Agriculture and Forestry
3. Electronic-Nose Applications for Fruit Identification, Ripeness and Quality Grading
4. Handbook of Machine Olfaction: Electronic Nose Technology;Pearce,2006
5. A feature extraction algorithm for multi-peak signals in electronic noses
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