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Advanced Hydroinformatics: Machine Learning and Optimization for Water Resources (Special Publications)

Advanced Hydroinformatics: Machine Learning and Optimization for Water Resources (Special Publications)

Advanced Hydroinformatics: Machine Learning and Optimization for Water Resources
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Advanced Hydroinformatics: Machine Learning and Optimization for Water Resources (Special Publications) Hardback - 2015

by Gerald A. Corzo Perez (Editor); Dimitri P. Solomatine (Editor)

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1st edition NO-PA16APR2015-KAP. Hardback. New.
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Details

  • Title Advanced Hydroinformatics: Machine Learning and Optimization for Water Resources (Special Publications)
  • Author Gerald A. Corzo Perez (Editor); Dimitri P. Solomatine (Editor)
  • Binding Hardback
  • Condition New
  • Pages 480
  • Volumes 1
  • Language ENG
  • Publisher American Geophysical Union
  • Publication date 1st edition NO-PA16APR2015-
  • Features Index
  • Bookseller's Inventory # 6396107547
  • ISBN 9781119639312 / 111963931X
  • Weight 1.71 lbs (0.78 kg)
  • Dimensions 9.1 x 6.2 x 1.2 in (23.11 x 15.75 x 3.05 cm)
  • Category Science
  • Library of Congress subjects Hydrology - Data processing, Hydrologic models
  • Library of Congress Catalogue Number 2023039032
  • Dewey Decimal Code 551.480
  • Quantity available 4

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Reader reviews for Advanced Hydroinformatics: Machine Learning and Optimization for Water Resources (Special Publications)

From the publisher

Applying machine learning and optimization technologies to water management problems

The rapid development of machine learning brings new possibilities for hydroinformatics research and practice with its ability to handle big data sets, identify patterns and anomalies in data, and provide more accurate forecasts.

Advanced Hydroinformatics: Machine Learning and Optimization for Water Resources presents both original research and practical examples that demonstrate how machine learning can advance data analytics, accuracy of modeling and forecasting, and knowledge discovery for better water management.

Volume Highlights Include:

  • Overview of the application of artificial intelligence and machine learning techniques in hydroinformatics
  • Advances in modeling hydrological systems
  • Different data analysis methods and models for forecasting water resources
  • New areas of knowledge discovery and optimization based on using machine learning techniques
  • Case studies from North America, South America, the Caribbean, Europe, and Asia

The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

From the rear cover

Advanced Hydroinformatics

Machine Learning and Optimization for Water Resources

The rapid development of machine learning brings new possibilities for hydroinformatics research and practice with its ability to handle big data sets, identify patterns and anomalies in data, and provide more accurate forecasts.

Advanced Hydroinformatics: Machine Learning and Optimization for Water Resources presents both original research and practical examples that demonstrate how machine learning can advance data analytics, accuracy of modeling and forecasting, and knowledge discovery for better water management.

Volume Highlights Include:

  • Overview of the application of artificial intelligence and machine learning techniques in hydroinformatics
  • Advances in modeling hydrological systems
  • Different data analysis methods and models for forecasting water resources
  • New areas of knowledge discovery and optimization based on using machine learning techniques
  • Case studies from North America, South America, the Caribbean, Europe, and Asia

The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

About the author

Gerald A. Corzo Perez, IHE Delft Institute for Water Education, The Netherlands

Dimitri P. Solomatine, IHE Delft Institute for Water Education, and Delft University of Technology, The Netherlands, and Water Problems Institute of the Russian Academy of Sciences, Moscow, Russia

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