Smooth Symmetrized and Perturbed Hyperbolic Tangent Real and Complex, Ordinary and Fractional Neural Network Approximations Over Infinite Domains

Annals of Communications in Mathematics · 2024

In this article we study the univariate quantitative smooth approximation, real and complex, ordinary and fractional under differentiation of functions. The approximators here are neural network operators activated by the symmetrized and perturbed hyperbolic tangent function. All domains used are of the whole real line. The neural network operators here are of quasi-interpolation type: […]

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