Artificial Intelligence Methods in the Environmental Sciences
Buch in deiner Nähe kaufen
Beschreibung
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:
-neural networks
-decision trees
-genetic algorithms
-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.
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.
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.
Tutorials make this an excellent classroom text Describes state-of-the-art environmental applications of AI Part I comprises tutorials introducing primary AI techniques Part II contains example applications of the techniques
Autor*in
Sue Ellen Haupt
Themen in »Artificial Intelligence Methods in the Environmental Sciences«
Racter algorithms artificial intelligence fuzzy logic genetic algorithm image processing learning machine learning modeling neural network optimization proving reinforcement learning