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A Fast Neural Network Learning Algorithm with Approximate Singular Value Decomposition Cover

A Fast Neural Network Learning Algorithm with Approximate Singular Value Decomposition

International Journal of Applied Mathematics and Computer Science
Volume 29 (2019): Issue 3 (September 2019)
By: Norbert Jankowski and  Rafał Linowiecki  
Open Access
|Sep 2019

Authors

Norbert Jankowski

norbert@is.umk.pl

Department of Informatics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University, Toruń, Poland

Rafał Linowiecki

Department of Informatics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University, Toruń, Poland
DOI: https://doi.org/10.2478/amcs-2019-0043 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 581 - 594
Submitted on: Sep 6, 2018
Accepted on: Feb 22, 2019
Published on: Sep 28, 2019
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Moore–Penrose pseudo-inverse learning,
radial basis function network,
extreme learning machines,
kernel methods,
machine learning,
singular value decomposition,
deep extreme learning,
principal component analysis
Related subjects:
Mathematics,
Applied mathematics

© 2019 Norbert Jankowski, Rafał Linowiecki, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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