Deep learning for hydrometeorology and environmental science
Auteur :
Lee, Taesam / Singh, Vijay P. / Cho, Kyung Hwa
Éditeur :
Springer Nature Switzerland AG
ISBN :
9783030647797
Date de publication :
28 janv. 2022
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
This book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN), especially for estimating parameters, with back-propagation as well as examples with real datasets of hydrometeorology (e.g.