Inverse Result of Approximation for the Max-Product Neural Network Operators of the Kantorovich Type and Their Saturation Order

Inverse Result of Approximation for the Max-Product Neural Network Operators of the Kantorovich Type and Their Saturation Order

In this paper, we consider the max-product neural network operators of the Kantorovich type based on certain linear combinations of sigmoidal and ReLU activation functions. In general, it is well-known that max-product type operators have applications in problems related to probability and fuzzy the...

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Bibliographic Details
Main Authors: Marco Cantarini, Lucian Coroianu, Danilo Costarelli, Sorin G. Gal, Gianluca Vinti
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Mathematics
Subjects:
sigmoidal functions
ReLU function
neural network operators
saturation result
local inverse theorem
Online Access:https://www.mdpi.com/2227-7390/10/1/63

Internet

https://www.mdpi.com/2227-7390/10/1/63

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