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

Abstract

and Methodological Support for the Development and Implementation of Programs for the Development of Weapons And Military Equipment and the State Defense Order** R . Z h y v o t o v s k y i PhD, Senior Researcher, Head of Research Department Research Department of the Development of Anti-Aircraft Missile Systems and Complexes** I u . R e p i l o Doctor of Military Sciences, Professor Department of Missile Troops and Artillery*** O . Z a b o l o t n y i PhD, Associate Professor, Leading Researcher Center of Military Strategic Studies*** O . S y m o n e n k o

Development of a method for assessing cybernetic security in special-purpose information systems

“…It is proposed to use the proposed method in decision support systems of automated control systems (ACS DSS) for artillery units, ACS DSS for aviation and air defense, as well as ACS DSS for logistics of the Armed Forces of Ukraine. This study is a further development of research aimed at developing methodological principles for improving the efficiency of data processing in special-purpose information systems, published earlier [28][29][30][31][32]. Areas of further research should be aimed at reducing computational costs when processing various data in special-purpose information systems.…”

Development of estimation and forecasting method in intelligent decision support systems

“…This research is a further development of research aimed at developing methodological principles for improving the efficiency of information and analytical support, published earlier [2,[4][5][6].…”

“…With the help of intelligent DSS, we can conduct the design, manufacture and sale of products, financial and economic analysis, planning, personnel management, marketing, support for the creation (operation, repair) of products and long-term planning. Also, intelligent DSS have been widely used to solve specific military tasks, namely [1,2]:…”

“…Analysis of the experience of creating intelligent DSS shows that the most promising is an information technology based on neural network modeling [1][2][3][4][5][6][7][8], in particular on the application of an evolutionary approach to the construction of artificial neural networks (ANN) [2][3][4][5][6][7]. ANN allow processing various types of data, adapting their structure to the type and amount of input data, thereby increasing their own productivity.…”

“…In this procedure, the ANN is trained using the evolving ANN learning method developed by the authors in [2]. This method differs from the known ones because it allows training not only synaptic weights, but also the parameters of the membership function together with the ANN architecture.…”