Approximation by Steklov Neural Network Operators
Functional Analysis
2024-12-18 v2 Machine Learning
Abstract
The present paper deals with construction of newly family of Neural Network operators, that is, Steklov Neural Network operators. By using Steklov type integral, we introduce a new version of Neural Network operators and we obtain some convergence theorems for the family, such as, pointwise and uniform convergence, rate of convergence via modulus of continuity.
Keywords
Cite
@article{arxiv.2410.01426,
title = {Approximation by Steklov Neural Network Operators},
author = {S. N. Karaman and M. Turgay and T. Acar},
journal= {arXiv preprint arXiv:2410.01426},
year = {2024}
}