DEGREE OF APPROXIMATION BY PERIODIC NEURAL NETWORKS
Nahmwoo Hahm, Bum Il Hong · Korean Journal of Mathematics · 2014
We investigate an approximation order of a continuous $2{\pi}$ -periodic function by periodic neural networks. By using the De La Vall $\acute{e}$ e Poussin sum and the modulus of continuity, we obtain a degree of approximation by periodic neural networks.