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Towards a Very Fast Feedforward Multilayer Neural Networks Training Algorithm Cover

Towards a Very Fast Feedforward Multilayer Neural Networks Training Algorithm

Journal of Artificial Intelligence and Soft Computing Research
Volume 12 (2022): Issue 3 (July 2022)
By: Jarosław Bilski,  Bartosz Kowalczyk,  Marek Kisiel-Dorohinicki,  Agnieszka Siwocha and  Jacek Żurada  
Open Access
|Jul 2022

Authors

Jarosław Bilski

jaroslaw.bilski@pcz.pl

Department of Computer Engineering, Częstochowa University of Technology, Częstochowa, Poland

Bartosz Kowalczyk

Department of Computer Engineering, Częstochowa University of Technology, Częstochowa, Poland

Marek Kisiel-Dorohinicki

Institute of Computer Science, AGH University of Science and Technology, Kraków, Poland

Agnieszka Siwocha

Information Technology Institute, University of Social Sciences, Łódź, Poland

Jacek Żurada

Department of Computer and Electrical Engineering, University of Louisville, USA
DOI: https://doi.org/10.2478/jaiscr-2022-0012
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Language: English
Page range: 181 - 195
Submitted on: Jan 3, 2022
|
Accepted on: Jun 6, 2022
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Published on: Jul 23, 2022
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,
Databases and data mining,
Artificial intelligence

© 2022 Jarosław Bilski, Bartosz Kowalczyk, Marek Kisiel-Dorohinicki, Agnieszka Siwocha, Jacek Żurada, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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