Complex-Valued Multivariate Neural Network (MNN) Approximation by Parameterized Half-Hyperbolic Tangent Function

Complex-Valued Multivariate Neural Network (MNN) Approximation by Parameterized Half-Hyperbolic Tangent Function

This paper deals with a family of normalized multivariate neural network (MNN) operators of complex-valued continuous functions for a multivariate context on a box of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics>&l...

Full description

Saved in:
Bibliographic Details
Main Author: Seda Karateke
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Mathematics
Subjects:
multi-layer approximation
parameterized half-hyperbolic tangent function
multivariate trigonometric and hyperbolic neural network approximation
multivariate modulus of continuity
iterated approximation
multivariate density function
Online Access:https://www.mdpi.com/2227-7390/13/3/453
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2227-7390/13/3/453

Similar Items