Univariate Neural Network Quantitative (NNQ) Approximation by Symmetrized Operators

Univariate Neural Network Quantitative (NNQ) Approximation by Symmetrized Operators

This paper deals not only with pointwise and uniform convergence but also <i>Y</i>-valued fractional approximation results by univariate symmetrized neural network (SNN) operators on Banach space <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display=...

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Bibliographic Details
Main Authors: George A. Anastassiou, Seda Karateke, Metin Zontul
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Fractal and Fractional
Subjects:
Banach space-valued fractional approximation
machine learning
scientific computing
artificial intelligence
symmetrized neural network operators
physics-informed machine learning
Online Access:https://www.mdpi.com/2504-3110/9/6/365
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