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Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
A study of key issues in parallel algorithms for face recognition based on genetic neural networks
Kai Guo
Kai Guo
School of Mechanical and Electrical Engineering, Suzhou University
Suzhou, China
Anhui Provincial Engineering Laboratory on Information Fusion and Control of Intelligent Robot
Wuhu, China
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Guo, Kai
,
Biao Li
Biao Li
School of Mechanical and Electrical Engineering, Suzhou University
Suzhou, China
School of Information and Control Engineering, China University of Mining and Technology
Xuzhou, China
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Li, Biao
,
Hao Li
Hao Li
School of Mechanical and Electrical Engineering, Suzhou University
Suzhou, China
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Li, Hao
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Zhi Bai
Zhi Bai
School of Mechanical and Electrical Engineering, Suzhou University
Suzhou, China
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Bai, Zhi
Apr 01, 2024
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
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Published Online:
Apr 01, 2024
Received:
Jan 31, 2024
Accepted:
Feb 08, 2024
DOI:
https://doi.org/10.2478/amns-2024-0762
Keywords
<kwd>Face recognition</kwd>
,
<kwd>Genetic neural networks</kwd>
,
<kwd>Genetic algorithms</kwd>
,
<kwd>Robustness</kwd>
© 2024 Kai Guo et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
