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Machine Learning For Spatial Environmental Data Theory Applications And Software Environmental Sciences Environmental Engineering Harcdr Mikhail Kanevski

  • SKU: BELL-2256356
Machine Learning For Spatial Environmental Data Theory Applications And Software Environmental Sciences Environmental Engineering Harcdr Mikhail Kanevski
$ 31.00 $ 45.00 (-31%)

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Machine Learning For Spatial Environmental Data Theory Applications And Software Environmental Sciences Environmental Engineering Harcdr Mikhail Kanevski instant download after payment.

Publisher: EFPL Press
File Extension: PDF
File size: 25.28 MB
Pages: 371
Author: Mikhail Kanevski, Vadim Timonin, Alexi Pozdnukhov
ISBN: 0849382378
Language: English
Year: 2009
Edition: Har/Cdr

Product desciption

Machine Learning For Spatial Environmental Data Theory Applications And Software Environmental Sciences Environmental Engineering Harcdr Mikhail Kanevski by Mikhail Kanevski, Vadim Timonin, Alexi Pozdnukhov 0849382378 instant download after payment.

This book discusses machine learning algorithms, such as artificial neural networks of different architectures, statistical learning theory, and Support Vector Machines used for the classification and mapping of spatially distributed data.  It presents basic geostatistical algorithms as well. The authors describe new trends in machine learning and their application to spatial data. The text also includes real case studies based on environmental and pollution data. It includes a CD-ROM with software that will allow both students and researchers to put the concepts to practice.

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