Application of TCN-biGRU neural network in PM2.5 concentration prediction

Fine particulate matter ( P M 2.5 ) poses a significant threat to human life and health, and therefore, accurately predicting P M 2.5 concentration is critical for controlling air pollution. Two improved types of recurrent neural networks (RNNs), the long short-term memory (LSTM) and gated recurrent...

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