Titlebook: Artificial Intelligence Methods in the Environmental Sciences; Sue Ellen Haupt,Antonello Pasini,Caren Marzban Book 2009 Springer Science+B

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Explorations in Learning and the Brainful estimate of the “environmental state”. A number of artificial intelligence methods for producing such mappings are described in this book, along with applications showing how they may be used to better understand a physical phenomenon or contribute to a decision support system. However, people d

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Affective Processes in Learning,cations operating on spatial data. These AI applications often seek to extract information from the spatial data and use that information to aid decision makers..Consider for example, land cover data. Since different locations have different types and amounts of forestry, land cover information has

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Book 2009and 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

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The Central Difficulty of the Moral Life,s evolved to have two hands, two eyes, two legs, one head, and a large brain while other species have not? Does that make humanity the pinnacle of the optimization problem? Why do guppies evolve to have different characteristics in dissimilar environments? Can the process of evolution be codified to understand these issues better?

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The Plowden Report: A Translationselves, are complex systems. Accordingly, the scientific and practical significance of interdisciplinary complex geophysical/environmental numerical models has increased tremendously during the last few decades, due to improvements in their quality via developments in numerical modeling and computing capabilities.

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Neural Network Applications to Developing Hybrid Atmospheric and Oceanic Numerical Modelsselves, are complex systems. Accordingly, the scientific and practical significance of interdisciplinary complex geophysical/environmental numerical models has increased tremendously during the last few decades, due to improvements in their quality via developments in numerical modeling and computing capabilities.

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ducing primary AI techniques.Part II contains example applic.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 intell