Development of a method for training artificial neural networks for intelligent decision support systems

Authors

DOI:

https://doi.org/10.15587/1729-4061.2020.203301

Keywords:

artificial neural networks, information processing, intelligent decision support systems

Abstract

A method for training artificial neural networks for intelligent decision support systems has been developed. The method provides training not only of the synaptic weights of the artificial neural network, but also the type and parameters of the membership function, architecture and parameters of an individual network node. The architecture of artificial neural networks is trained if it is not possible to ensure the specified quality of functioning of artificial neural networks due to the training of parameters of an artificial neural network. The choice of architecture, type and parameters of the membership function takes into account the computing resources of the tool and the type and amount of information received at the input of the artificial neural network. The specified method allows the training of an individual network node and the combination of network nodes. The development of the proposed method is due to the need for training artificial neural networks for intelligent decision support systems, in order to process more information, with unambiguous decisions being made. This training method provides on average 10–18 % higher learning efficiency of artificial neural networks and does not accumulate errors during training. The specified method will allow training artificial neural networks, identifying effective measures to improve the functioning of artificial neural networks, increasing the efficiency of artificial neural networks through training the parameters and architecture of artificial neural networks. The method will allow reducing the use of computing resources of decision support systems, developing measures aimed at improving the efficiency of training artificial neural networks and increasing the efficiency of information processing in artificial neural networks

Author Biographies

Volodymyr Dudnyk, Hetman Petro Sahaidachnyi National Army Academy Heroiv Maidanu str., 32, Lviv, Ukraine, 79026

PnD

Department of Fire Training

Yuriy Sinenko, Hetman Petro Sahaidachnyi National Army Academy Heroiv Maidanu str., 32, Lviv, Ukraine, 79026

Associate Professor

Department of Fire Training

Mykhailo Matsyk, Hetman Petro Sahaidachnyi National Army Academy Heroiv Maidanu str., 32, Lviv, Ukraine, 79026

Associate Professor

Department of Driving Combat Vehicles and Cars

Yevhen Demchenko, Central Scientifically-Research Institute of Arming and Military Equipment of the Armed Forces of Ukraine Povitroflotskyi ave., 28, Kyiv, Ukraine, 03168

PhD, Head of Research Department

Research Department of Scientific and Methodological Support for the Development and Implementation of Programs for the Development of Weapons And Military Equipment and the State Defense Order

Ruslan Zhyvotovskyi, Central Scientifically-Research Institute of Arming and Military Equipment of the Armed Forces of Ukraine Povitroflotskyi ave., 28, Kyiv, Ukraine, 03168

PhD, Senior Researcher, Head of Research Department

Research Department of the Development of Anti-Aircraft Missile Systems and Complexes

Iurii Repilo, Ivan Chernyakhovsky National Defense University of Ukraine Povitrofloski ave., 28, Kyiv, Ukraine, 03049

Doctor of Military Sciences, Professor

Department of Missile Troops and Artillery

Oleg Zabolotnyi, Ivan Chernyakhovsky National Defense University of Ukraine Povitrofloski ave., 28, Kyiv, Ukraine, 03049

PhD, Associate Professor, Leading Researcher

Center of Military Strategic Studies

Alexander Simonenko, Military Institute of Telecommunications and Informatization named after Heroes of Kruty Moskovska str., 45/1, Kyiv, Ukraine, 01011

Senior Lecturer

Department of Automated Control Systems

Pavlo Pozdniakov, Institute of Naval Forces National University “Odessa Maritime Academy” Hradonachalnytska str., 20, Odessa, Ukraine, 65029

PhD, Head of Department

Department of Tactic and General Military Sciences

Andrii Shyshatskyi, Central Scientifically-Research Institute of Arming and Military Equipment of the Armed Forces of Ukraine Povitroflotskyi ave., 28, Kyiv, Ukraine, 03168

PhD, Senior Researcher

Research Department of Electronic Warfare Development

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Published

2020-06-30

How to Cite

Dudnyk, V., Sinenko, Y., Matsyk, M., Demchenko, Y., Zhyvotovskyi, R., Repilo, I., Zabolotnyi, O., Simonenko, A., Pozdniakov, P., & Shyshatskyi, A. (2020). Development of a method for training artificial neural networks for intelligent decision support systems. Eastern-European Journal of Enterprise Technologies, 3(2 (105), 37–47. https://doi.org/10.15587/1729-4061.2020.203301

Issue

Vol. 3 No. 2 (105) (2020): Information technology. Industry control systems

Section

Information technology

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Copyright (c) 2020 Volodymyr Dudnyk, Yuriy Sinenko, Mykhailo Matsyk, Yevhen Demchenko, Ruslan Zhyvotovskyi, Iurii Repilo, Oleg Zabolotnyi, Alexander Simonenko, Pavlo Pozdniakov, Andrii Shyshatskyi

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