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 language | English |
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Title of host publication | A Window on the Future of Geodesy - Proceedings of the International Association of Geodesy |
Editors | Fernando Sansò |
Publisher | Springer Verlag |
Pages | 582-587 |
Number of pages | 6 |
ISBN (Print) | 9783540240556 |
DOIs | |
Publication status | Published - 2005 |
Event | Proceedings of the International Association of Geodesy, IAG 2003 - Sapporo, Japan Duration: 30 Jun 2003 → 11 Jul 2003 |
Publication series
Name | International Association of Geodesy Symposia |
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Volume | 128 |
ISSN (Print) | 0939-9585 |
ISSN (Electronic) | 2197-9359 |
Conference
Conference | Proceedings of the International Association of Geodesy, IAG 2003 |
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Country/Territory | Japan |
City | Sapporo |
Period | 30/06/03 → 11/07/03 |
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.
Funders | Funder number |
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Cottbus University of Technology | |
DGFI | |
Deutscher Akademischer Austauschdienst |
Keywords
- ANFIS
- Earth rotation
- Fuzzy inference systems
- Prediction
- Soft computing