A new approach to the fast-developing world of neural hydrological modelling, this book is essential reading for academics and researchers in the fields of wate
This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state
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),
This book summarizes the latest research and developments related to the application of nature-inspired metaheuristic algorithms coupled with artificial neural