Korean J. Math. Vol. 22 No. 2 (2014) pp.307-315
DOI: https://doi.org/10.11568/kjm.2014.22.2.307

Degree of approximation by periodic neural networks

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Nahmwoo Hahm
Bum Il Hong


We investigate an approximation order of a continuous 2$\pi$-periodic function by periodic neural networks. By using the De La Valle e Poussin sum and the modulus of continuity, we obtain a degree of approximation by periodic neural networks.

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Supporting Agencies

This work was supported by the Incheon National University Research Grant in 2014.


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