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

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发表于 2025-3-21 19:38:43 | 显示全部楼层 |阅读模式
期刊全称Artificial Intelligence Methods in the Environmental Sciences
影响因子2023Sue Ellen Haupt,Antonello Pasini,Caren Marzban
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发行地址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 applic
图书封面Titlebook: Artificial Intelligence Methods in the Environmental Sciences;  Sue Ellen Haupt,Antonello Pasini,Caren Marzban Book 2009 Springer Science+B
影响因子.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..
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https://doi.org/10.1007/978-1-4020-9119-3Racter; algorithms; artificial intelligence; fuzzy logic; genetic algorithm; image processing; learning; ma
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Sue Ellen Haupt,Antonello Pasini,Caren MarzbanTutorials 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 applic
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Haruka Ogawa,Devin Gilbert,Samar Almazroeirve and interpret the physical world. It is only natural that people would observe patterns then build basic mental models to predict a future state. For instance, records indicate that there has long been a version of the adage “Red at night, sailor‘s delight. Red in the morning, sailors take warni
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Haruka Ogawa,Devin Gilbert,Samar Almazroei, or in a forecaster‘s head—is subject to a set of tests aimed at assessing its goodness. The specific choice of the tests is contingent on many factors, including the nature of the problem, and the specific facet of goodness. This chapter will discuss some of these tests. For a more in-depth exposu
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