We propose to continuously predict the whole
Prediction for seven cities of China, the Beijing, Shanghai, Chengdu, Wwuhan, Gguangzhou, Xi'an, and Nanjing.
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We propose to continuously predict the whole $station \times feature$ map in the next 1 to 48 hours with a convolutional LSTM (ConvLSTM, long short-term memory), which replaces the fully connected network in the classical LSTM with convolutional operations.
bruce803/Air-quality-prediction
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We propose to continuously predict the whole $station \times feature$ map in the next 1 to 48 hours with a convolutional LSTM (ConvLSTM, long short-term memory), which replaces the fully connected network in the classical LSTM with convolutional operations.
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