Details Details PDF BIBTEX RIS Title Influence of the GMDH Neural Network Data Preparation Method on UTC(PL) Correction Prediction Results Journal title Metrology and Measurement Systems Yearbook 2012 Issue No 1 Authors Miczulski, Wiesław ; Sobolewski, Łukasz 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 2080-9050, e-ISSN 2300-1941 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++.