Optimization of Extracted Features from an Explosive-Detecting Electronic Nose Using Genetic Algorithm

• Main Authors: Espanola, Jason L., Bandala, Argel A., Vicerra, Ryan Rhay P., Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2019
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1076; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2075/type/native/viewcontent
• Institution: De La Salle University

© 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...