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The application of neural networks in the earth system sciences : neural networks emulations for complex multidimensional mappings / / Vladimir Krasnopolsky
The application of neural networks in the earth system sciences : neural networks emulations for complex multidimensional mappings / / Vladimir Krasnopolsky
Autore Krasnopolsky Vladimir
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Dordrecht ; ; New York, : Springer, c2013
Descrizione fisica 1 online resource (204 p.)
Disciplina 550.285632
Collana Atmospheric and Oceanographic Sciences Library
Soggetto topico Earth sciences - Computer simulation
Neural networks (Computer science)
Environmental mapping
ISBN 94-007-6073-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910741196603321
Krasnopolsky Vladimir  
Dordrecht ; ; New York, : Springer, c2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
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ART 2003 : IEEE International Augmented Reality Toolkit Workshop : Japan, 2003
ART 2003 : IEEE International Augmented Reality Toolkit Workshop : Japan, 2003
Pubbl/distr/stampa [Place of publication not identified], : IEEE, 2003
Disciplina 006.8
Soggetto topico Computer graphics
Virtual reality
Visualization
Environmental mapping
Technology - General
Engineering & Applied Sciences
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996202919103316
[Place of publication not identified], : IEEE, 2003
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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ART 2003 : IEEE International Augmented Reality Toolkit Workshop : Japan, 2003
ART 2003 : IEEE International Augmented Reality Toolkit Workshop : Japan, 2003
Pubbl/distr/stampa [Place of publication not identified], : IEEE, 2003
Disciplina 006.8
Soggetto topico Computer graphics
Virtual reality
Visualization
Environmental mapping
Technology - General
Engineering & Applied Sciences
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910872460203321
[Place of publication not identified], : IEEE, 2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The state of the art of modeling millimeter-wave remote sensing of the environment / / Kevin O'Neill
The state of the art of modeling millimeter-wave remote sensing of the environment / / Kevin O'Neill
Autore O'Neill Kevin <1946->
Pubbl/distr/stampa Hanover, NH, : US Army Corps of Engineers, Cold Regions Research and Engineering Laboratory
Descrizione fisica 1 online resource (iii, 27 pages)
Collana Special report
Soggetto topico Microwave remote sensing - Mathematical models
Remote sensing - Mathematical models
Millimeter waves - Mathematical models
Environmental mapping
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910690368503321
O'Neill Kevin <1946->  
Hanover, NH, : US Army Corps of Engineers, Cold Regions Research and Engineering Laboratory
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui