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130615s2013 ne | s |||| 0|eng d |
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|a 9789400760738
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| 024 |
7 |
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|a 10.1007/978-94-007-6073-8
|2 doi
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| 040 |
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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| 100 |
1 |
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|a Krasnopolsky, Vladimir M.
|e author.
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| 245 |
1 |
4 |
|a The Application of Neural Networks in the Earth System Sciences :
|b Neural Networks Emulations for Complex Multidimensional Mappings /
|c by Vladimir M. Krasnopolsky.
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| 250 |
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|a 1st ed. 2013.
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| 260 |
# |
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|a Dordrecht :
|b Springer Netherlands :
|b Imprint: Springer,
|c 2013.
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| 300 |
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|a XVII, 189 p. :
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Atmospheric and Oceanographic Sciences Library,
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| 505 |
0 |
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|a Introduction.- Introduction to Mapping and Neural Networks -- Mapping Examples -- Some Generic Properties of Mappings -- MLP NN – A Generic Tool for Modeling Nonlinear Mappings -- Advantages and Limitations of the NN TechniqueNN Emulations -- Final remarks -- Atmospheric and Oceanic Remote Sensing Applications -- Deriving Geophysical Parameters from Satellite Measurements: Conventional Retrievals and Variational Retrievals -- NNs for Emulating Forward Models -- NNs for Solving Inverse Problems: NNs Emulating Retrieval Algorithms.-Controlling the NN Generalization and Quality Control of Retrievals -- Neural Network Emulations for SSM/I Data -- Using NNs to Go Beyond the Standard Retrieval Paradigm -- Discussion.-Applications of NNs to Developing Hybrid Earth System Numerical Models for Climate and Weather -- Numerical Modeling Background -- Hybrid Model Component and a Hybrid Model -- Atmospheric NN Applications -- An Ocean Application of the Hybrid Model Approach: Neural Network Emulation of Nonlinear Interactions in Wind Wave Models -- Discussion -- NN Ensembles and their applications -- Using NN Emulations of Dependencies between Model Variables in DAS -- NN nonlinear multi-model ensembles -- Perturbed physics and ensembles with perturbed physics -- Conclusions -- Comments about NN Technique -- Comments about other Statistical Learning Techniques.
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| 650 |
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0 |
|a Atmospheric sciences.
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| 650 |
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|a Computational intelligence.
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| 650 |
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|a Neural networks (Computer science) .
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| 650 |
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|a Artificial intelligence.
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| 650 |
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0 |
|a Oceanography.
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| 650 |
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0 |
|a Remote sensing.
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| 650 |
1 |
4 |
|a Atmospheric Sciences.
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| 650 |
2 |
4 |
|a Computational Intelligence.
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| 650 |
2 |
4 |
|a Mathematical Models of Cognitive Processes and Neural Networks.
|
| 650 |
2 |
4 |
|a Artificial Intelligence.
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| 650 |
2 |
4 |
|a Oceanography.
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| 650 |
2 |
4 |
|a Remote Sensing/Photogrammetry.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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