Smooth Logistic Real and Complex, Ordinary and Fractional Neural Network Approximations over Infinite Domains

In this work, we study the univariate quantitative smooth approximations, including both real and complex and ordinary and fractional approximations, under different functions. The approximators presented here are neural network operators activated by Richard’s curve, a parametrized form of logistic...

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Autor principal:	George A. Anastassiou
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-07-01
coleção:	Axioms
Assuntos:	Richards’s curve function quasi-interpolation neural network operators real and complex approximation ordinary and fractional approximation quantitative approximations
Acesso em linha:	https://www.mdpi.com/2075-1680/13/7/462
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