Tracked shipping to New Zealand with premium packaging for just NZ$15 

Ship to
New Zealand
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Deep Learning for Hydrometeorology and Environmental Science
Type
Physical Book
Author
Publisher
Language
English
Pages
204
Format
Paperback
Dimensions
23.4x15.6x1.2 cm
Weight
0.31 kg.
ISBN13
9783030647797
Categories

Deep Learning for Hydrometeorology and Environmental Science

Vijay P. Singh (Author) · Taesam Lee (Author) · Kyung Hwa Cho (Author) · Springer · Paperback

Deep Learning for Hydrometeorology and Environmental Science - Lee, Taesam ; Singh, Vijay P. ; Cho, Kyung Hwa

Cheaper New Book Imported to New Zealand
Delivery: 20 Oct - 30 Oct Shipping: 14 to 18 business days.
NZ$ 264.79
Faster New Book Imported to New Zealand
Delivery: 07 Oct - 14 Oct Shipping: 5 to 6 business days.
NZ$ 341.43
Import costs and 15% GST included in the price ✅
NZ$ 264.79

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Deep Learning for Hydrometeorology and Environmental Science"

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 environmental fields. However, books that specifically focus on applications to these fields are limited.Most of deep learning books demonstrate theoretical backgrounds and mathematics. However, examples with real data and step-by-step explanations to understand the algorithms in hydrometeorology and environmental science are very rare. This book focuses on the explanation of deep learning techniques and their applications to hydrometeorological and environmental studies with real hydrological and environmental data. This book covers the major deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN) as well as the conventional artificial neural network model.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews