Proceedings of the VIth International Workshop 'Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Cloud Computing and Cyber Security' (IWCI 2019)

Construction of Predictive Models of Systems with Incomplete Observation Matrix

Authors
Irina Serysheva, Yuri Khrustalev
Corresponding Author
Irina Serysheva
Available Online September 2019.
DOI
https://doi.org/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%.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

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  - 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  - https://doi.org/10.2991/iwci-19.2019.27
ID  - Serysheva2019/09
ER  -