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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| 主要な著者: | , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2016-04-01
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| シリーズ: | Sensors |
| 主題: | |
| オンライン･アクセス: | http://www.mdpi.com/1424-8220/16/4/520 |
| タグ: |
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