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Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
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The Application of Neural Networks in the Earth System Sciences - Neural Networks Emulations for Complex Multidimensional Mappings (Paperback, Softcover reprint of the original 1st ed. 2013)
Loot Price: R3,498
Discovery Miles 34 980
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The Application of Neural Networks in the Earth System Sciences - Neural Networks Emulations for Complex Multidimensional Mappings (Paperback, Softcover reprint of the original 1st ed. 2013)
Series: Atmospheric and Oceanographic Sciences Library, 46
Expected to ship within 10 - 15 working days
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This book brings together a representative set of Earth System
Science (ESS) applications of the neural network (NN) technique. It
examines a progression of atmospheric and oceanic problems, which,
from the mathematical point of view, can be formulated as complex,
multidimensional, and nonlinear mappings. It is shown that these
problems can be solved utilizing a particular type of NN - the
multilayer perceptron (MLP). This type of NN applications covers
the majority of NN applications developed in ESSs such as
meteorology, oceanography, atmospheric and oceanic satellite remote
sensing, numerical weather prediction, and climate studies. The
major properties of the mappings and MLP NNs are formulated and
discussed. Also, the book presents basic background for each
introduced application and provides an extensive set of references.
"This is an excellent book to learn how to apply artificial neural
network methods to earth system sciences. The author, Dr. Vladimir
Krasnopolsky, is a universally recognized master in this field.
With his vast knowledge and experience, he carefully guides the
reader through a broad variety of problems found in the earth
system sciences where neural network methods can be applied
fruitfully. (...) The broad range of topics covered in this book
ensures that researchers/graduate students from many fields (...)
will find it an invaluable guide to neural network methods." (Prof.
William W. Hsieh, University of British Columbia, Vancouver,
Canada) "Vladimir Krasnopolsky has been the "founding father" of
applying computation intelligence methods to environmental science;
(...) Dr. Krasnopolsky has created a masterful exposition of a
young, yet maturing field that promises to advance a deeper
understanding of best modeling practices in environmental science."
(Dr. Sue Ellen Haupt, National Center for Atmospheric Research,
Boulder, USA) "Vladimir Krasnopolsky has written an important and
wonderful book on applications of neural networks to replace
complex and expensive computational algorithms within Earth System
Science models. He is uniquely qualified to write this book, since
he has been a true pioneer with regard to many of these
applications. (...) Many other examples of creative emulations will
inspire not just readers interested in the Earth Sciences, but any
other modeling practitioner (...) to address both theoretical and
practical complex problems that may (or will!) arise in a complex
system." " (Prof. Eugenia Kalnay, University of Maryland, USA)
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