A hybrid model of heuristic algorithm and gradient descent to optimize neural networks

Training a neural network can be a challenging task, particularly when working with complex models and large amounts of training data, as it consumes significant time and resources. This research proposes a hybrid model that combines population-based heuristic algorithms with traditional gradient-ba...

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Bibliographic Details
Main Authors: Amer Mirkhan, Numan Çelebi
Format: Article
Language:English
Published: Polish Academy of Sciences 2023-10-01
Series:Bulletin of the Polish Academy of Sciences: Technical Sciences
Subjects:
Online Access:https://journals.pan.pl/Content/129003/PDF/BPASTS_2023_71_6_3773.pdf