Introducing an Evolutionary Method to Create the Bounds of Artificial Neural Networks

Introducing an Evolutionary Method to Create the Bounds of Artificial Neural Networks

Artificial neural networks are widely used in applications from various scientific fields and in a multitude of practical applications. In recent years, a multitude of scientific publications have been presented on the effective training of their parameters, but in many cases overfitting problems ap...

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Bibliographic Details
Main Authors: Ioannis G. Tsoulos, Vasileios Charilogis, Dimitrios Tsalikakis
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Foundations
Subjects:
neural networks
evolutionary algorithms
stochastic methods
differential evolution
Online Access:https://www.mdpi.com/2673-9321/5/2/11
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