A highly scalable Self-organizing Map accelerator on FPGA and its performance evaluation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,General Biochemistry, Genetics and Molecular Biology
Link
https://link.springer.com/content/pdf/10.1007/s10015-023-00916-5.pdf
Reference11 articles.
1. Kohonen T (2001) Self-organizing maps. Springer, Berlin
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3. Steiger E, Resch B, de Albuquerque JP, Zipf A (2016) Mining and correlating traffic events from human sensor observations with official transport data using self-organizing-maps. Transp Res Part C Emerg Technol 73:91–104
4. Jovanović S, Hikawa H (2022) A survey of hardware self-organizing maps. IEEE Trans Neural Netw Learn Syst, pp 1–20
5. Lachmair J, Mieth T, Griessl R, Hagemeyer J, Porrmann M (2017) From CPU to FPGA—Acceleration of self-organizing maps for data mining. In: 2017 International joint conference on neural networks (IJCNN), pp 4299–4308. IEEE
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