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 temperature) and environmental science (e.g. water quality).
Deep learning is known as part of machine learning methodology based on the artificial neural network. Increasing data availability and computing power enhance applications of deep learning to hydrometeorological and...
This book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Ne...
Umesh Chandra Chaube, Ashish Pandey, Vijay P. Singh
The book focuses broadly on the preliminaries of the canal irrigation systems in India with a focus on their operation, maintenance, and management of the canal systems. The chapters in this book are classified under four sections, viz., (i). preliminaries of the canal irrigation systems, (ii) operation of the canal irrigation systems, (iii) maintenance of the canal irrigation systems, and (iv) management of the canal irrigation systems.
The preliminaries of the canal irrigation systems include an integrated view of irrigation and agriculture, irrigation management in India:...
The book focuses broadly on the preliminaries of the canal irrigation systems in India with a focus on their operation, maintenance, and management...
