DEEP NEURAL NETWORK-BASED APPROACH FOR COMPUTING SINGULAR VALUES OF MATRICES

DEEP NEURAL NETWORK-BASED APPROACH FOR COMPUTING SINGULAR VALUES OF MATRICES

Matrix factorization techniques, such as Singular Value Decomposition (SVD), Eigenvalue Decomposition (EVD), and QR decomposition, have long been pivotal in computational mathematics, particularly for applications in signal processing, machine learning, and data analysis. With the growing size and...

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Bibliographic Details
Main Author: Diyari A. Hassan
Format: Article
Language:English
Published: University of Zakho 2025-01-01
Series:Science Journal of University of Zakho
Subjects:
Singular Value Decomposition
Matrix Factorization
Convolutional Neural Networks
Computational Compelxity
Online Access:http://sjuoz.uoz.edu.krd/index.php/sjuoz/article/view/1345
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