Deep Learning for Hydrometeorology and Environmental Science
Kyung Hwa Cho, Taesam Lee, Vijay P. Singh
Springer Nature Switzerland AG, 2022
145,75 €On orderDelivery: 2-3 weeks
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.
- ISBN-13
- 9783030647797
- ISBN-10
- 303064779X
- Publisher
- Springer Nature Switzerland AG
- Year
- 2022
- Publication date
- 2022-01-28
- Pages
- 204
- Dimensions
- 235x155x