[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.11568/kjm.2014.22.2.307

DEGREE OF APPROXIMATION BY PERIODIC NEURAL NETWORKS

Hahm, Nahmwoo (Department of Mathematics Incheon National University)
Hong, Bum Il (Department of Applied Mathematics Kyung Hee University)

Publication Information

Korean Journal of Mathematics / v.22, no.2, 2014 , pp. 307-315 More about this Journal

Abstract

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.

Keywords

De la Vall $\acute{e}$ e Poussin sum; Neural network; Degree of approximation;

Citations & Related Records

Reference

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