Abstract
Artificial neural networks, evolutionary algorithms (and swarm intelligence) are common algorithms belonging to well known soft-computing algorithms. Both classes of algorithms have their history, principles and represent two different biological areas, converted to computer technology. Despite fact that scientists already exhibited that both systems exhibit almost the same behavior dynamics (chaotic regimes etc.), researchers still take both classes of algorithms as two different classes. We show in this paper, that there are some similarities, that can help to understand evolutionary algorithms as neural networks and vice versa.
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Acknowledgment
The following grants are acknowledged for the financial support provided for this research: Grant of SGS No. 2020/78, VSB-Technical University of Ostrava.
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Kojecký, L., Zelinka, I. (2020). On the Similarity Between Neural Network and Evolutionary Algorithm. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2020. Lecture Notes in Computer Science(), vol 12415. Springer, Cham. https://doi.org/10.1007/978-3-030-61401-0_15
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DOI: https://doi.org/10.1007/978-3-030-61401-0_15
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