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Predicting the concentration of indoor culturable fungi using a kernel-based extreme learning machine (K-ELM)

Zhijian Liu1, Shengyuan Ma1, Lifeng Wu2

  • 1Department of Power Engineering, North China Electric Power University, Baoding, Hebei, PR China.

International Journal of Environmental Health Research
|April 30, 2019
PubMed

Keywords:
Indoor airborne culturable fungiPM10PM2.5kernel-based extreme learning machine (K-ELM)real-time prediction

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