No. 2 (2017)

View No. 2 (2017)

Published: 2017-08-16

Full Issue

Theoretical and applied problems and methods of system analysis

System approach of solving direct and reverse tasks in systems with chaos

Valery Ya. Danylov, Artem Yu. Zinchenko, V. Ya. Danilov

7-18
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Mathematical model of situational synthesis automated system for collecting and processing information from the technical means of monitoring

Oleksii Oleksandrovych Pysarchuk, Maksym Oleksiiovych Humeniuk, Serhii Vitaliiovych Tymchuk

19-28
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Control automation of impulse processes in cognitive maps with constrained disturbance suppression based on invariant ellipsoids method

Victor D. Romanenko, Yuriy L. Milyavsky

29-39
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Progressive information technologies, high-efficiency computer systems

A technology for feature points detection based on stable edges of objects

Fedir H. Hаrаshchenko, A. Yu. Kobzаr

40-51
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Systemic approach to modeling and forecasting on the basis of regression models and Kalman filter

Irina A. Shubenkova, Svitlana K. Petrova, Petro I. Bidyuk

52-61
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Decision making and control in economic, technical, ecological and social systems

Curvature coordinates to describe the explosion of Chernobyl’s reactor core in April 1986, using the tensor equations

Yoshio Matsuki, Petro I. Bidyuk

62-67
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Information-algorithmic support for complex ecological assessment of system objects

Tatiana V. Kozulia, Daria I. Emelianova

68-76
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On dynamics of an open economy under presence of monopolies and financial obligations

Andrii Makhort

77-91
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Problem- and function-oriented computer systems and networks

Cascade neo-fuzzy neural network in the forecasting problem at stock exchange

Yuriy P. Zaychenko, Galib Hamidov

92-102
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Mathematical methods, models, problems and technologies for complex systems research

On existence of solution of the Cauchy problem for nonlinear diffusion stochastic partial differential-difference equations of neutral type with random external perturbations

V. K. Yasynskyy, I. V. Yurchenko

103-114
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Methods of system analysis and control in conditions of risk and uncertainty

Method of choosing an environmental mathematical model

Viktor V. Mikulin

115-129
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Two dimensional model of learning in spiking neural networks with homeostasis and reward

Viacheslav M. Osaulenko

130-140
- PDF (Українська)