Table of contents
About this book
How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence techniques, including:
Part I contains a series of tutorials describing the methods and the important considerations in applying them. In Part II, many practical examples illustrate the power of these techniques on actual environmental problems.
The book is a scientific as well as a cultural blend: one culture entwines ideas with a thread, while another links them with a red line. Thus, a “red thread” ties the book together and weaves the fabric of the methods into a tapestry that pictures the ‘natural’ data-driven artificial intelligence methods in the light of the more traditional modeling techniques.
The international authors, who are recognized major experts in their respective fields, bring to life ways to apply artificial intelligence to problems in the environmental sciences, demonstrating the power of these data-based methods.
Editors and affiliations
- DOI https://doi.org/10.1007/978-1-4020-9119-3
- Copyright Information Springer Netherlands 2009
- Publisher Name Springer, Dordrecht
- eBook Packages Earth and Environmental Science
- Print ISBN 978-1-4020-9117-9
- Online ISBN 978-1-4020-9119-3
- Buy this book on publisher's site