國立虎尾科技大學 |

Modeling of tropospheric delays using ANFIS

Record Type:	Language materials, printed : 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.;
Contained By:	Springer eBooks
Subject:	Meteorology - Mathematical models. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-28437-8
ISBN:	9783319284378

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

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

784053
Meteorology
--Mathematical models.

LC Class. No.: QC881.2.T75

Dewey Class. No.: 550

Modeling of tropospheric delays using ANFIS
LDR:01991nam a2200325 a 4500 001 861473
003 DE-He213
005 20160809133924.0
006 m d
007 cr nn 008maaau
008 170720s2016 gw s 0 eng d
020 $a 9783319284378 $q (electronic bk.)
020 $a 9783319284354 $q (paper)
024 7 $a 10.1007/978-3-319-28437-8 $2 doi
035 $a 978-3-319-28437-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QC881.2.T75
072 7 $a RB $2 bicssc
072 7 $a SCI042000 $2 bisacsh
082 0 4 $a 550 $2 23
090 $a QC881.2.T75 $b S959 2016
100 1 $a Suparta, Wayan. $3 1103906
245 1 0 $a Modeling of tropospheric delays using ANFIS $h [electronic resource] / $c by Wayan Suparta, Kemal Maulana Alhasa.
260 $a Cham : $c 2016. $b Springer International Publishing : $b Imprint: Springer,
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 784053
650 0 $a Tropospheric circulation $x Mathematical models. $3 1103908
650 0 $a Global Positioning System. $3 567474
650 1 4 $a Earth Sciences. $3 683879
650 2 4 $a Atmospheric Sciences. $3 881331
650 2 4 $a Meteorology. $3 554820
650 2 4 $a Models and Principles. $3 669634
650 2 4 $a Statistical Physics, Dynamical Systems and Complexity. $3 769149
700 1 $a Alhasa, Kemal Maulana. $3 1103907
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in meteorology. $3 1066389
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-28437-8
950 $a Earth and Environmental Science (Springer-11646)