Enhancing Neural Network Training Through Neuroevolutionary Models: A Hybrid Approach to Classification Optimization

Enhancing Neural Network Training Through Neuroevolutionary Models: A Hybrid Approach to Classification Optimization

The optimization of Artificial Neural Networks (ANNs) remains a significant challenge in machine learning, particularly in overcoming local-optima limitations during training. Traditional classification algorithms, such as k-Nearest Neighbors (KNN), decision trees, Support Vector Machines (SVMs), an...

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Main Authors: Hyasseliny A. Hurtado-Mora, Luis A. Herrera-Barajas, Luis J. González-del-Ángel, Roberto Pichardo-Ramírez, Alejandro H. García-Ruiz, Katea E. Lira-García
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Mathematics
Subjects:
neuroevolution
Artificial Neural Networks
cellular processing
machine learning
Online Access:https://www.mdpi.com/2227-7390/13/7/1114
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