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 modern artificial intelligence 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.
This group of 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.
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