Estimates of Solution Convergence Dynamical Processes in Neuronet with Time Delay
D Khusainov, J Diblik, A Shatyrko… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
D Khusainov, J Diblik, A Shatyrko, J Bastinec
2019 IEEE International Conference on Advanced Trends in …, 2019•ieeexplore.ieee.orgThis article is devoted to dynamic processes in the field of artificial intelligence, namely in
the tasks of neurodynamics. The problems of stability of transient processes in neural
networks, which dynamics can be described by systems of weakly nonlinear functional-
differential equations with time-delay, are considered. The direct Lyapunov method with
quadratic functions was chosen as the research tool.
the tasks of neurodynamics. The problems of stability of transient processes in neural
networks, which dynamics can be described by systems of weakly nonlinear functional-
differential equations with time-delay, are considered. The direct Lyapunov method with
quadratic functions was chosen as the research tool.
This article is devoted to dynamic processes in the field of artificial intelligence, namely in the tasks of neurodynamics. The problems of stability of transient processes in neural networks, which dynamics can be described by systems of weakly nonlinear functional-differential equations with time-delay, are considered. The direct Lyapunov method with quadratic functions was chosen as the research tool.
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