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Modeling of tropospheric delays usin...

Suparta, Wayan.

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Modeling of tropospheric delays using ANFIS

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling of tropospheric delays using ANFIS/ by Wayan Suparta, Kemal Maulana Alhasa.
Author:	Suparta, Wayan.
other author:	Alhasa, Kemal Maulana.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xvi, 109 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Adaptive Neuro Fuzzy Inference System -- Tropospheric Delay Modeling from GPS -- Estimation of ZTD Using ANFIS -- Prediction of ZTD Based on ANFIS Model.
Contained By:	Springer eBooks
Subject:	Meteorology - Mathematical models. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-28437-8
ISBN:	9783319284378$q(electronic bk.)

Modeling of tropospheric delays using ANFIS
Suparta, Wayan.

Modeling of tropospheric delays using ANFIS[electronic resource] /by Wayan Suparta, Kemal Maulana Alhasa. - Cham :Springer International Publishing :2016. - xvi, 109 p. :ill., digital ;24 cm. - SpringerBriefs in meteorology,2199-9112. - SpringerBriefs in meteorology..

Introduction -- Adaptive Neuro Fuzzy Inference System -- Tropospheric Delay Modeling from GPS -- Estimation of ZTD Using ANFIS -- Prediction of ZTD Based on ANFIS Model.

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.

ISBN: 9783319284378$q(electronic bk.)

Standard No.: 10.1007/978-3-319-28437-8doiSubjects--Topical Terms:

566557
Meteorology
--Mathematical models.

LC Class. No.: QC881.2.T75

Dewey Class. No.: 550

Modeling of tropospheric delays using ANFIS
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100 1 $a Suparta, Wayan. $3 2181038
245 1 0 $a Modeling of tropospheric delays using ANFIS $h [electronic resource] / $c by Wayan Suparta, Kemal Maulana Alhasa.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xvi, 109 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in meteorology, $x 2199-9112
505 0 $a Introduction -- Adaptive Neuro Fuzzy Inference System -- Tropospheric Delay Modeling from GPS -- Estimation of ZTD Using ANFIS -- Prediction of ZTD Based on ANFIS Model.
520 $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.
650 0 $a Meteorology $x Mathematical models. $3 566557
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650 2 4 $a Models and Principles. $3 891221
650 2 4 $a Statistical Physics, Dynamical Systems and Complexity. $3 1066325
700 1 $a Alhasa, Kemal Maulana. $3 2181039
710 2 $a SpringerLink (Online service) $3 836513
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