INFLUENCE OF CHAOS ON ACTIVATION FUNCTIONS IN HOPFIELD NETWORKS
O. S. Maistrenko, Dmitriy A. Klyushin · Journal of Numerical and Applied Mathematics · 2024
Hopfield networks are known for their ability to store and recall patterns. Recently, there has been interest in new types of activation functions and how they can be used in these networks. This paper looks at how chaotic activation functions can be used in Hopfield networks and what effects they have on how the networks work.