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02827nam a22005415i 4500 |
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978-3-319-28437-8 |
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20160122142606.0 |
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151222s2016 gw | s |||| 0|eng d |
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|a 9783319284378
|9 978-3-319-28437-8
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|a 10.1007/978-3-319-28437-8
|2 doi
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|d GrThAP
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|a QC851-999
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|a RB
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|a SCI042000
|2 bisacsh
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|a 551.5
|2 23
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|a Suparta, Wayan.
|e author.
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|a Modeling of Tropospheric Delays Using ANFIS
|h [electronic resource] /
|c by Wayan Suparta, Kemal Maulana Alhasa.
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|a 1st ed. 2016.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2016.
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|a XVI, 109 p. 51 illus., 28 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a SpringerBriefs in Meteorology,
|x 2199-9112
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|a Introduction -- Adaptive Neuro Fuzzy Inference System -- Tropospheric Delay Modeling from GPS -- Estimation of ZTD Using ANFIS -- Prediction of ZTD Based on ANFIS Model.
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|a This book investigates tropospheric delays, one of the main error sources in Global Navigation Satellite Systems (GNSS), and its impact plays a crucial role in near real-time weather forecasting. Accessibility and accurate estimation of this parameter are essential for weather and climate research. Advances in GNNS application has allowed the measurements of Zenith Tropospheric Delay (ZTD) in all weather conditions and on a global scale with fine temporal and spatial resolution. However, GPS data are not always available for a full 24-hour period. Using a soft computing technique such as Adaptive Neuro-Fuzzy Inference System (ANFIS) as a new alternative, the ZTD can be determined by using the surface meteorological data as inputs. The estimation and prediction of ZTD value are presented in this book.
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|a Earth sciences.
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|a Meteorology.
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|a Atmospheric sciences.
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|a Computers.
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|a Statistical physics.
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|a Dynamical systems.
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|a Earth Sciences.
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|a Atmospheric Sciences.
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|a Meteorology.
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|a Models and Principles.
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|a Statistical Physics, Dynamical Systems and Complexity.
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|a Alhasa, Kemal Maulana.
|e author.
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|a SpringerLink (Online service)
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9783319284354
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830 |
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|a SpringerBriefs in Meteorology,
|x 2199-9112
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856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-319-28437-8
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-EES
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950 |
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|a Earth and Environmental Science (Springer-11646)
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