Development of a method of structural-parametric assessment of the object state

Authors

DOI:

https://doi.org/10.15587/1729-4061.2021.240178

Keywords:

artificial neural networks, neural network training, modified algorithm of evolution strategies

Abstract

A method of structural and parametric assessment of the object state has been developed. The essence of the method is to provide an analysis of the current state of the object under analysis. The key difference of the developed method is the use of advanced procedures for processing undefined initial data, selection, crossover, mutation, formation of the initial population, advanced procedure for training artificial neural networks and rounding coordinates. The use of the method of structural-parametric assessment of the object state allows increasing the efficiency of object state assessment. An objective and complete analysis is achieved using an advanced algorithm of evolution strategies. The essence of the training procedure is the training of synaptic weights of the artificial neural network, the type and parameters of the membership function, the architecture of individual elements and the architecture of the artificial neural network as a whole. An example of using the proposed method in assessing the operational situation of the troops (forces) grouping is given. The developed method is 30–35 % more efficient in terms of the fitness of the obtained solution compared to the conventional algorithm of evolution strategies. Also, the proposed method is 20–25 % better than the modified algorithms of evolution strategies due to the use of additional improved procedures according to the criterion of fitness of the obtained solution. The proposed method can be used in decision support systems of automated control systems (artillery units, special-purpose geographic information systems). It can also be used in DSS for aviation and air defense ACS, DSS for logistics ACS of the Armed Forces of Ukraine

Author Biographies

Qasim Abbood Mahdi, Al Taff University College

PhD, Head of Department

Computer Technologies Engineering Department

Ruslan Zhyvotovskyi, Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine

PhD, Senior Researcher, Head of Research Department

Research Department of Development Armament and Military Equipment of Air Force

Serhii Kravchenko, National Aviation University

PhD, Associate Professor

Department of Software Engineering

Ihor Borysov, Military Unit A1906

PhD, Associate Professor, Head of Research Department

Research Department of Problems of Research of Means of Communication and Automation

Oleksandr Orlov, V. N. Karazin Kharkiv National University

Doctor of Sciences in Public Administration, Professor, Head of Department

Department of Digital Technologies and Electronic Government

Ihor Panchenko, Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty

PhD, Head of Department

Department of Special Information Systems and Robotic Complexes

Yevhen Zhyvylo, Telecommunications and Information Technologies named after Heroes of Kruty

PhD, Head of Department

Department of Military Training

Artem Kupchyn, Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine

Adjunct

Military-Technical Policy Department

Dmytro Koltovskov, Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty

Adjunct

Scientific and Organizational Department

Serhii Boholii, Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty

Adjunct

Scientific and Organizational Department

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Published

2021-10-29

How to Cite

Mahdi, Q. A., Zhyvotovskyi, R., Kravchenko, S., Borysov, I., Orlov, O., Panchenko, I., Zhyvylo, Y., Kupchyn, A., Koltovskov, D., & Boholii, S. (2021). Development of a method of structural-parametric assessment of the object state . Eastern-European Journal of Enterprise Technologies, 5(4 (113), 34–44. https://doi.org/10.15587/1729-4061.2021.240178

Issue

Vol. 5 No. 4 (113) (2021): Mathematics and Cybernetics - applied aspects

Section

Mathematics and Cybernetics - applied aspects

License

Copyright (c) 2021 Qasim Abbood Mahdi, Ruslan Zhyvotovskyi, Serhii Kravchenko, Ihor Borysov, Oleksandr Orlov, Ihor Panchenko, Yevhen Zhyvylo, Artem Kupchyn, Dmytro Koltovskov, Serhii Boholii

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