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A Novel Optimization Technique to Improve Gas Recognition by Electronic Noses Based on the Enhanced Krill Herd Algorithm
An electronic nose (E-nose) is an intelligent system that we will use in this paper to distinguish three indoor pollutant gases (benzene (C(6)H(6)), toluene (C(7)H(8)), formaldehyde (CH(2)O)) and carbon monoxide (CO). The algorithm is a key part of an E-nose system mainly composed of data processing...
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| Publicat a: | Sensors (Basel) |
|---|---|
| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2016
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5017440/ https://ncbi.nlm.nih.gov/pubmed/27529247 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s16081275 |
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