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Accelerating Neural Network Training with FSGQR: A Scalable and High-Performance Alternative to Adam Cover

Accelerating Neural Network Training with FSGQR: A Scalable and High-Performance Alternative to Adam

Journal of Artificial Intelligence and Soft Computing Research
Volume 15 (2025): Issue 2 (March 2025)
By: Jarosław Bilski,  Bartosz Kowalczyk,  Ludmila Dymova and  Min Xiao  
Open Access
|Feb 2025
DOI: https://doi.org/10.2478/jaiscr-2025-0006
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Language: English
Page range: 95 - 113
Submitted on: Sep 7, 2024
Accepted on: Dec 4, 2024
Published on: Feb 5, 2025
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
neural network training algorithm, QR decomposition, scaled Givens rotations, approximation, classification
Related subjects:
Computer sciences,
Artificial intelligence,
Databases and data mining

© 2025 Jarosław Bilski, Bartosz Kowalczyk, Ludmila Dymova, Min Xiao, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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