Time Scale Control Using Dynamic GMDH Neural Network Forecasting Based on Real Measurement Data

Time Scale Control Using Dynamic GMDH Neural Network Forecasting Based on Real Measurement Data

This article presents the results of the conducted research work related to the dynamic forecasting of the difference values for the Polish Time Scale UTC(PL) for real measurement data, prepared in the form of the time series TS1 and TS2. For the presented time period (the whole year of 2024), the d...

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Bibliographic Details
Main Author: Łukasz Sobolewski
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
forecasting UTC–UTC(k) differences
neural networks
UTC(PL) timescale
UTC & UTC rapid timescales
timescale correction
Online Access:https://www.mdpi.com/2076-3417/15/12/6932
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https://www.mdpi.com/2076-3417/15/12/6932

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