Details
Title
Influence of the GMDH Neural Network Data Preparation Method on UTC(PL) Correction Prediction ResultsJournal title
Metrology and Measurement SystemsYearbook
2012Numer
No 1Authors
Keywords
GMDH neural network ; national timescale ; atomic clock ; time series analysisDivisions of PAS
Nauki TechniczneCoverage
123-132Publisher
Polish Academy of Sciences Committee on Metrology and Scientific InstrumentationDate
2012Type
Artykuły / ArticlesIdentifier
ISSN 0860-8229References
Czubla A. (2006), Realization of atomic SI second definition in context UTC(PL) and TA(PL), Metrology and Measurement Systems, 2, 149. ; Panfilo G. (2008), Atomic clock prediction based on stochastic differential equations, Metrology, 45, 108, doi.org/10.1088/0026-1394/45/6/S16 ; Bernier L. (2003), Use of the Allan Deviation and Linear Prediction for the Determination of the Uncertainty on Time Calibrations Against Predicted Timescales, IEEE Transactions on Instrumentation and Measurement, 52, 2, 483, doi.org/10.1109/TIM.2003.810015 ; Miczulski W. (2010), Influence of type of neural network and selection of data pre-processing method on UTC-UTC(PL) prediction result, The Measurements, Automation and Monitoring, 11, 1330. ; Farlow S. (1984), Self-organizing Methods in Modelling: GMDH-type Algorithms, 54. ; Masters T. (1993), Practical neural networks recipes in C++.DOI
10.2478/v10178-012-0011-1