Fuzzy inference systems for the prediction of Earth rotation parameters

Orhan Akyilmaz, Hansjörg Kutterer

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

2 Atıf (Scopus)


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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıA Window on the Future of Geodesy - Proceedings of the International Association of Geodesy
EditörlerFernando Sansò
YayınlayanSpringer Verlag
Sayfa sayısı6
ISBN (Basılı)9783540240556
Yayın durumuYayınlandı - 2005
EtkinlikProceedings of the International Association of Geodesy, IAG 2003 - Sapporo, Japan
Süre: 30 Haz 200311 Tem 2003

Yayın serisi

AdıInternational Association of Geodesy Symposia
ISSN (Basılı)0939-9585
ISSN (Elektronik)2197-9359


???event.eventtypes.event.conference???Proceedings of the International Association of Geodesy, IAG 2003

Bibliyografik not

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2005.


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.

FinansörlerFinansör numarası
Cottbus University of Technology
Deutscher Akademischer Austauschdienst

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