Utvidet returrett til 31. januar 2025

Machine Learning for Spatial Environmental Data

Om Machine Learning for Spatial Environmental Data

The book presents the state of the art in machine learning algorithms (artificial neural networks of different architectures, support vector machines, etc.) as applied to the classification and mapping of spatially distributed environmental data. Basic geostatistical algorithms are presented as well. New trends in machine learning and their application to spatial data are given, and real case studies based on environmental and pollution data are carried out. The book provides a CD-ROM with the Machine Learning Office software, including sample sets of data, that will allow both students and researchers to put the concepts rapidly to practice.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9782940222247
  • Bindende:
  • Paperback
  • Sider:
  • 392
  • Utgitt:
  • 27. november 2024
  • Dimensjoner:
  • 16x24x3 mm.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: Kan forhåndsbestilles
Utvidet returrett til 31. januar 2025

Beskrivelse av Machine Learning for Spatial Environmental Data

The book presents the state of the art in machine learning algorithms (artificial neural networks of different architectures, support vector machines, etc.) as applied to the classification and mapping of spatially distributed environmental data. Basic geostatistical algorithms are presented as well. New trends in machine learning and their application to spatial data are given, and real case studies based on environmental and pollution data are carried out. The book provides a CD-ROM with the Machine Learning Office software, including sample sets of data, that will allow both students and researchers to put the concepts rapidly to practice.

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