Deep learning for hydrometerology and environmental science / Taesam Lee, Vijay P. Singh, Kyung Hwa Cho.

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. streamflow and...

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Bibliographic Details
Main Authors: Lee, Taesam (Author), Singh, V. P. (Vijay P.) (Author), Cho, Kyung Hwa (Author)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer Nature, [2021]
Series:Water science and technology library ; v. 99.
Subjects:
Online Access:Click for online access