DYNAMIC ANALYSIS AND SYNCHRONIZATION OF 5D ARTIFICIAL NEURAL NETWORK SYSTEM
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]:
Authors
- Inna Samuilik (ORCID: https://orcid.org/0000-0002-8892-5715)
- M. I. Kopp (ORCID: https://orcid.org/0000-0001-7457-3272)
Institutions
- Daugavpils University (LV)
- State Scientific Institution “Institute for Single Crystals” of National Academy of Sciences of Ukraine (UA)
Publication Details
- Published
- 2025-03-07
- DOI
- https://doi.org/10.36074/logos-07.03.2025.043
- Primary Topic
- Neural Networks and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00