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Dynamic Analysis and Synchronization of 5d Artificial Neural Network System

Year: 2025

Type: conference-paper

Abstract: Artificial neural networks have recently garnered growing interest from researchers as powerful tools for addressing various challenges, particularly in modeling the intricate dynamics of brain behavior. The dynamics of a continuous-time recurrent neural network are governed by a system of coupled ordinary differential equations with sigmoid nonlinearity, such as the hyperbolic tangent [1]:

DOI: 10.36074/logos-07.03.2025.043

Authors: Michael Kopp, Inna Samuilik

Institutions: State Scientific Institution “Institute for Single Crystals” of National Academy of Sciences of Ukraine, Daugavpils University

Language: English

Topic: Neural Networks Stability and Synchronization

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4409594561

FWCI:

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