Fuzzy inference systems for the prediction of Earth rotation parameters

Orhan Akyilmaz, Hansjörg Kutterer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

The paper presents short-term and longterm predictions of Earth rotation parameters (ERP) (Length-of-Day and polar motion) up to one year by means of ANFIS (Adaptive Network based Fuzzy Inference System). The ERP C04 time series of the International Earth Rotation and Reference Systems Service (IERS) with daily values are used as data basis. The impact of the tides of the solid Earth and the oceans and seasonal variations of the atmosphere are removed from the C04 series. The residual series are used both for training and validation of the ANFIS. For network optimization purposes, different architectures are considered. The results of the prediction are compared with those from other methods. The ERP values predicted by ANFIS have RMS errors, which are equal or even less than those from other methods. The most striking advantage of using ANFIS instead of other approaches is its significantly reduced complexity.

Original languageEnglish
Title of host publicationA Window on the Future of Geodesy - Proceedings of the International Association of Geodesy
EditorsFernando Sansò
PublisherSpringer Verlag
Pages582-587
Number of pages6
ISBN (Print)9783540240556
DOIs
Publication statusPublished - 2005
EventProceedings of the International Association of Geodesy, IAG 2003 - Sapporo, Japan
Duration: 30 Jun 200311 Jul 2003

Publication series

NameInternational Association of Geodesy Symposia
Volume128
ISSN (Print)0939-9585
ISSN (Electronic)2197-9359

Conference

ConferenceProceedings of the International Association of Geodesy, IAG 2003
Country/TerritoryJapan
CitySapporo
Period30/06/0311/07/03

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2005.

Funding

The authors would like to thank DAAD for supporting this project. Special thanks to DGFI (Deutsches Geodatisches Forschungsinstitut) for providing scientific and logistic assistance. The advice of Dr. Katja Heine from Cottbus University of Technology is gratefully acknowledged.

FundersFunder number
Cottbus University of Technology
DGFI
Deutscher Akademischer Austauschdienst

    Keywords

    • ANFIS
    • Earth rotation
    • Fuzzy inference systems
    • Prediction
    • Soft computing

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