Deep Learning for Hydrometeorology and Environmental Science

Deep Learning for Hydrometeorology and Environmental Science

Singh, Vijay P.; Lee, Taesam; Cho, Kyung Hwa

Springer Nature Switzerland AG

01/2022

204

Mole

Inglês

9783030647797

15 a 20 dias

343

Descrição não disponível.
Introduction.- Mathematical Background.- Data Preprocessing.- Neural Network.- Training a Neural Network.- Updating Weights.- Improving model performance.- Advanced Neural Network Algorithms.- Deep learning for time series.- Deep learning for spatial datasets.- Tensorflow and Keras Programming for Deep Learning.- Hydrometeorological Applications of deep learning.- Environmental Applications of deep learning.
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Hydrology;Meteorology;Artificial neural networks;Climate index;Convolutional neural networks;Lon Short-Term Memory (LSTM)