Detail publikace

Estimates of Solution Convergence Dynamical Processes in Neuronet with Time Delay

Originální název

Estimates of Solution Convergence Dynamical Processes in Neuronet with Time Delay

Anglický název

Estimates of Solution Convergence Dynamical Processes in Neuronet with Time Delay

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

BibTex


@inproceedings{BUT162457,
  author="Jaromír {Baštinec} and Josef {Diblík} and Denys {Khusainov} and Andrej {Shatyrko}",
  title="Estimates of Solution Convergence Dynamical Processes in Neuronet with Time Delay",
  annote="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.
",
  address="Institute of Electrical and Electronics Engineers Inc.",
  booktitle="Confgerence Proceedings “IEEE ATIT 2019" (Advanced Trends in Information Theory)",
  chapter="162457",
  doi="10.1109/ATIT49449.2019.9030506",
  howpublished="print",
  institution="Institute of Electrical and Electronics Engineers Inc.",
  year="2019",
  month="december",
  pages="411--414",
  publisher="Institute of Electrical and Electronics Engineers Inc.",
  type="conference paper"
}