HÖLDER CONTINUOUS ACTIVATION FUNCTIONS IN NEURAL NETWORKS
We consider a system which arises in Neural Network Theory and prove an exponential stabilization result in case of Hölder continuous activation functions. This extends the previous works where activation functions are assumed to be at least Lipschitz continuous.
Hopfield neural network, exponential convergence, non-Lipschitz activation functions, Gronwall-type inequality.