Details

Title

Influence of the GMDH Neural Network Data Preparation Method on UTC(PL) Correction Prediction Results

Journal title

Metrology and Measurement Systems

Yearbook

2012

Numer

No 1

Authors

Keywords

GMDH neural network ; national timescale ; atomic clock ; time series analysis

Divisions of PAS

Nauki Techniczne

Coverage

123-132

Publisher

Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation

Date

2012

Type

Artykuły / Articles

Identifier

DOI: 10.2478/v10178-012-0011-1 ; ISSN 0860-8229

Source

Metrology and Measurement Systems; 2012; No 1; 123-132

References

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++.
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