ISSN 1991-2927
 

ACP № 1 (59) 2020

Author: "Ilya Vitalyevich Bondarenko"

Ilya Vitalyevich Bondarenko, Military Training and Research Centre Naval Academy named after N. Kuznetsov, Candidate of Engineering; graduated from the Faculty of C2 Systems of the Naval Radio-Electronics Academy named after A. Popov; senior lecturer at the Military Training and Research Centre Naval Academy named after N. Kuznetsov; author of articles in the field of use of neuronet models in military fields. [e-mail: bondarenko@bk.ru]I. Bondarenko,

Sergey Petrovich Navoytsev, FRPC OJSC RPA Mars, Candidate of Engineering, senior staff scientist; laureate of the State Prize of the Russian Federation; graduated from the Faculty of Software of the Naval Radio-Electronics Academy named after A. Popov; specializes in the field of information technologies of special-purpose C2 systems; deputy chief designer at FRPC OJSC RPA Mars. [e-mail: navojcev@yandex.ru]S. Navoytsev,

Vladimir Nikolaevich Naumov, Military Training and Research Centre Naval Academy named after N. Kuznetsov, Doctor of Military Sciences, Professor; honoured worker in the science of the Russian Federation; graduated from the Faculty of Computers of the Naval Radio-Electronics Academy named after A. Popov; Professor at the Military Training and Research Centre 'Naval Academy named after N. Kuznetsov'; author of numerous publications in the field of automation of control processes of ship's facilities and systems. [e-mail: naumov122@list.ru]V. Naumov,

Yury Ivanovich Sineshchuk, Military Training and Research Centre Naval Academy named after N. Kuznetsov, Doctor of Engineering, Professor; honoured worker of the Higher School of the Russian Federation; graduated from the Faculty of Combat-Management Systems of the Naval Radio-Electronics Academy named after A. Popov; Professor at the Military Training and Research Centre Naval Academy named after N. Kuznetsov; specializes in the field of modeling of the features of the operation stability of complex systems. [e-mail: sinegal@rambler.ru]Y. Sineshchuk

Neuronet Model of Situation Categorization 25_5.pdf

The article cites a neuronet model to categorize situations which occur during the repulsion of anti-ship missiles. It also describes the membership functions of input and output variables. The authors brought to light required methods of variable phasing.

Anti-aircraft defense, anti-ship missiles, neural network, situation categorization.

2011_ 3

Sections: Artificial-intelligence systems

Subjects: Artificial intelligence, Automated control systems, Architecture of ship's system.


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