A Comparison of the Black Hole Algorithm Against Conventional Training Strategies for Neural Networks

A Comparison of the Black Hole Algorithm Against Conventional Training Strategies for Neural Networks

Artificial Intelligence continues to demand robust and adaptable training methods for neural networks, particularly in scenarios involving limited computational resources or noisy, complex data. This study presents a comparative analysis of four training algorithms, Backpropagation, Genetic Algorith...

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Bibliographic Details
Main Author: Péter Veres
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Mathematics
Subjects:
black-hole algorithm
artificial neural networks
ANN
AI training
metaheuristic optimization
Online Access:https://www.mdpi.com/2227-7390/13/15/2416
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