Artificial Intelligence Methods In The Environmental Sciences
Download Artificial Intelligence Methods In The Environmental Sciences PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Artificial Intelligence Methods In The Environmental Sciences book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Artificial Intelligence Methods in the Environmental Sciences
Author: Sue Ellen Haupt
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-11-28
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 (AI) techniques, including neural networks, decision trees, genetic algorithms and fuzzy logic. 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. International experts bring to life ways to apply AI to problems in the environmental sciences. While one culture entwines ideas with a thread, another links them with a red line. Thus, a “red thread“ ties the book together, weaving a tapestry that pictures the ‘natural’ data-driven AI methods in the light of the more traditional modeling techniques, and demonstrating the power of these data-based methods.
Machine Learning Methods in the Environmental Sciences
Author: William W. Hsieh
language: en
Publisher: Cambridge University Press
Release Date: 2009-07-30
A graduate textbook that provides a unified treatment of machine learning methods and their applications in the environmental sciences.
Artificial Intelligence Methods in the Environmental Sciences
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 (AI) techniques, including neural networks, decision trees, genetic algorithms and fuzzy logic. 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. International experts bring to life ways to apply AI to problems in the environmental sciences. While one culture entwines ideas with a thread, another links them with a red line. Thus, a “red thread“ ties the book together, weaving a tapestry that pictures the ‘natural’ data-driven AI methods in the light of the more traditional modeling techniques, and demonstrating the power of these data-based methods.