Description |
1 online resource |
Series |
Atmospheric and oceanographic sciences library ; v. 46 |
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Atmospheric and oceanographic sciences library ; v. 46.
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Contents |
Introduction -- Introduction to Mapping and Neural Networks -- Atmospheric and Oceanic Remote Sensing Applications -- Applications of NNs to Developing Hybrid Earth System Numerical Models for Climate and Weather -- NN Ensembles and Their Applications -- Conclusions |
Summary |
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, numeric |
Analysis |
atmosfeer |
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atmosphere |
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meteorologie |
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meteorology |
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klimatologie |
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climatology |
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wiskundige modellen |
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mathematical models |
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neurale netwerken |
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neural networks |
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computational science |
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kunstmatige intelligentie |
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artificial intelligence |
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aardwetenschappen |
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earth sciences |
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oceanografie |
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oceanography |
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remote sensing |
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fotogrammetrie |
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photogrammetry |
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Geology (General) |
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Geologie (algemeen) |
Bibliography |
Includes bibliographical references and index |
Notes |
Print version record |
Subject |
Earth sciences -- Data processing.
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Neural networks (Computer science)
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Neural Networks, Computer
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SCIENCE -- Earth Sciences -- General.
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SCIENCE -- Physics -- Geophysics.
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Sciences de la terre.
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Environnement.
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Earth sciences -- Data processing
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Neural networks (Computer science)
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Form |
Electronic book
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ISBN |
9789400760738 |
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9400760736 |
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