DYNAMIC ANALYSIS AND SYNCHRONIZATION OF 5D ARTIFICIAL NEURAL NETWORK SYSTEM
Michael I. Kopp, Inna Samuilik · 2025
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]: