Optimization of Extracted Features from an Explosive-Detecting Electronic Nose Using Genetic Algorithm
© 2019 IEEE. The use of an electronic nose in detecting explosives has gained attention among researchers. This paper aims to optimize the extraction of features generated from a predetermined explosive-detecting electronic nose setup by using a genetic algorithm. A genetic algorithm (GA) is used to...
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| Main Authors: | , , , |
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| Format: | text |
| Published: |
Animo Repository
2019
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| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/1076 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2075/type/native/viewcontent |
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| Institution: | De La Salle University |