A Parallel Reconfigurable Architecture for Scalable LVQ Neural Networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Link
https://link.springer.com/content/pdf/10.1007/s11063-022-10814-9.pdf
Reference35 articles.
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3. Alkim E, Akleylek S, Kiliç E (2017) A modified parallel learning vector quantization algorithm for real-time hardware applications. J Circuits Syst Comput 26(10):1750156. https://doi.org/10.1142/S0218126617501560
4. Ölmez T, Dokur Z (2003) Classification of heart sounds using an artificial neural network. Pattern Recogn Lett 24(1–3):617–629. https://doi.org/10.1016/S0167-8655(02)00281-7
5. Chalbi N, Boubaker M, Bedoui MH (2017) Implementation of a low-power LVQ architecture on FPGA. IET Circuits Dev Syst 11(6):597–604. https://doi.org/10.1049/iet-cds.2016.0311
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