Machine Learning for Spatial Environmental Data: Theory,...

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Machine Learning for Spatial...

Machine Learning for Spatial Environmental Data: Theory, Applications, and Software (Environmental Sciences: Environmental Engineering)

Mikhail Kanevski, Vadim Timonin, Alexi Pozdnukhov

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దింపుకొన్న ఫైల్ నాణ్యత ఏమిటి?

పుస్తక నాణ్యత అంచనా వేయడాలనుకుంటే దీన్ని దింపుకోండి

దింపుకొన్న ఫైళ్ళ నాణ్యత ఏమిటి?

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.

వర్గాలు:

Science (General)

సంవత్సరం:

2009

ముద్రణం:

Har/Cdr

ప్రచురణకర్త:

EFPL Press

భాష:

english

పేజీల సంఖ్య:

371