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Updated: Feb 9, 2026

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使用福里埃序列分解与LSTM和SVM结合使用颗粒物 (PM2.5和PM10) 预测

Mohamed Bennis1, Mohamed Youssfi2, Rachida El Morabet3

  • 1ENSET Mohammedia, 2IACS laboratory, Hassan II University of Casablanca, Casablanca, Morocco. mohamedbennis420@gmail.com.

Scientific reports
|February 7, 2026
PubMed
概括

准确预测颗粒物 (PM10和PM2.5) 对公共卫生至关重要. 这项研究将富里埃分解与机器学习 (LSTM和SVM) 结合起来,有效预测空气污染水平,帮助决策决策.

关键词:
富里埃数列是富里埃数列中的一个.这是LSTM的LSTM.颗粒物质颗粒物质是什么?在SVM中,SVM是SVM.季节性变化季节性变化

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