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Optimization of Artificial Neural Networks with Genetic Algorithms for Biometric Pattern Recognition Cover

Optimization of Artificial Neural Networks with Genetic Algorithms for Biometric Pattern Recognition

By: Gábor Werner and  László Hanka  
Open Access
|Oct 2019

References

  1. Aggarwal, C. C. (2018). Training deep neural networks. Neural Networks and Deep Learning, Springer, 105-167, doi: 10.1007/978-3-319-94463-0_3.10.1007/978-3-319-94463-0_3
  2. Fazekas, I. (2013). Neural networks. University of Debrecen (Hungary), available at: https://www.tankonyvtar.hu/hu/tartalom/tamop412A/20110103_19_neuralis_halozatok/pr02.html, accessed on 11 June 2019.
  3. Hajek, M. (2005). Neural Networks. University of KwaZulu-Natal, available at: https://www.e-booksdirectory.com/details.php?ebook=10055, accessed on 11 June 2019.
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  6. Werner, G. A., & Hanka, L. (2016). Tuning an artificial neural network to increase the efficiency of a fingerprint matching algorithm. 2016 IEEE 14th International Symposium on Applied Machine Intelligence and Informatics (SAMI), 105-109, doi: 10.1109/SAMI.2016.7422990.10.1109/SAMI.2016.7422990
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DOI: https://doi.org/10.2478/raft-2019-0031 | Journal eISSN: 3100-5071 | Journal ISSN: 3100-5063
Language: English
Page range: 256 - 264
Published on: Oct 23, 2019
Published by: Nicolae Balcescu Land Forces Academy
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2019 Gábor Werner, László Hanka, published by Nicolae Balcescu Land Forces Academy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.