Artificial Intelligence Methods Environmental (9 results)

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  • Language: English

    Published by Springer Netherlands, 2008

    1402091176 / 9781402091179

    • Hardcover

    Seller: Buchpark, Trebbin, GermanyBuchpark

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    Condition: Gut. Zustand: Gut | Seiten: 436 | Sprache: Englisch | Produktart: Bücher | 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.…

  • Language: English

    Published by Springer, 2008

    1402091176 / 9781402091179

    • Hardcover

    Seller: Books Puddle, Woodside, NY, U.S.A.Books Puddle

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    Condition: New. pp. viii + 424.

  • Language: English

    Published by Springer Netherlands, 2008

    1402091176 / 9781402091179

    • Hardcover

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Gebundene Ausgabe. Condition: Neu. Neu Neuware, Importqualität, auf Lager, Sofortversand - 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.…

  • Language: English

    Published by Springer Netherlands Nov 2008, 2008

    1402091176 / 9781402091179

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    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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    Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 436 pp. Englisch.…

  • Language: English

    Published by Springer Netherlands, 2008

    1402091176 / 9781402091179

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    Seller: moluna, Greven, Germanymoluna

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    Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Tutorials make this an excellent classroom textDescribes state-of-the-art environmental applications of AIPart I comprises tutorials introducing primary AI techniquesPart II contains example applications of the techniques.…

  • Language: English

    Published by Springer Netherland, 2008

    1402091176 / 9781402091179

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    Seller: preigu, Osnabrück, Germanypreigu

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    Buch. Condition: Neu. Artificial Intelligence Methods in the Environmental Sciences | Sue Ellen Haupt (u. a.) | Buch | viii | Englisch | 2008 | Springer Netherland | EAN 9781402091179 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. …

  • Language: English

    Published by Springer Netherlands, Springer Netherlands Nov 2008, 2008

    1402091176 / 9781402091179

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    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 436 pp. Englisch.…

  • Language: English

    Published by Springer, 2008

    1402091176 / 9781402091179

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    Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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    Condition: New. Print on Demand pp. viii + 424.

  • Language: English

    Published by Springer, 2008

    1402091176 / 9781402091179

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    Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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    Condition: New. PRINT ON DEMAND pp. viii + 424.