A Hybrid Wavelet-Based Deep Learning Model for Accurate Prediction of Daily Surface PM_2.5 Concentrations in Guangzhou City

Surface air pollution affects ecosystems and people’s health. However, traditional models have low prediction accuracy. Therefore, a hybrid model for accurately predicting daily surface PM_2.5 concentrations was integrated with wavelet (W), convolutional neural network (CNN), bidirectional...

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Hlavní autoři:	Zhenfang He, Qingchun Guo, Zhaosheng Wang, Xinzhou Li
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-03-01
Edice:	Toxics
Témata:	deep learning ANN LSTM GRU CNN BiLSTM
On-line přístup:	https://www.mdpi.com/2305-6304/13/4/254
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