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Enhancing Electronic Nose Performance Based on a Novel QPSO-KELM Model
A novel multi-class classification method for bacteria detection termed quantum-behaved particle swarm optimization-based kernel extreme learning machine (QPSO-KELM) based on an electronic nose (E-nose) technology is proposed in this paper. Time and frequency domain features are extracted from E-nos...
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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/PMC4851034/ https://ncbi.nlm.nih.gov/pubmed/27077860 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s16040520 |
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