Construction of Predictive Models of Systems with Incomplete Observation Matrix

DOI

10.2991/iwci-19.2019.27How to use a DOI?

Keywords

group standards of time and frequency (ensemble of atomic clocks); predictive models of time series; filtration of anomalous measurements; regression analysis; extremum of function of many variables

Abstract

The formalized technique of processing the measurement information obtained in the subsystem of internal comparisons of the standard based on the results of indirect measurements performed in the process of the functioning of the group standard of time and frequencies is offered. The program modules realizing a technique allow to solve a problem of full automation of process of creation of models of time series according to empirical data and to lower an error of reproduction of units of time and frequency by atomic clock to 30%.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Irina Serysheva
AU  - Yuri Khrustalev
PY  - 2019/09
DA  - 2019/09
TI  - Construction of Predictive Models of Systems with Incomplete Observation Matrix
BT  - Proceedings of the VIth International Workshop 'Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Cloud Computing and Cyber Security' (IWCI 2019)
PB  - Atlantis Press
SP  - 154
EP  - 161
SN  - 1951-6851
UR  - https://doi.org/10.2991/iwci-19.2019.27
DO  - 10.2991/iwci-19.2019.27
ID  - Serysheva2019/09
ER  -