GSK-LocS: Towards a more effective generalisation in population-based neural network training

GSK-LocS: Towards a more effective generalisation in population-based neural network training

Despite the effectiveness of deep neural networks, feed-forward neural networks (FFNNs) continue to play a crucial role in many applications, especially when dealing with limited data availability. The primary challenge in FFNNs is determining the optimal weights during the training process, aiming...

Full description

Saved in:
Bibliographic Details
Main Authors: Seyed Jalaleddin Mousavirad, Khosro Rezaee, Abdulaziz S. Almazyad, Ali Wagdy Mohamed, Davood Zabihzadeh, Mehran Pourvahab, Diego Oliva
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Alexandria Engineering Journal
Subjects:
Neural networks
Local search
Gaining-sharing knowledge based algorithm
Classification problems
Approximation problems
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016824009955
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S1110016824009955

Similar Items