Low power multiplier based long short-term memory hardware architecture for smart grid energy management
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
https://link.springer.com/content/pdf/10.1007/s13198-022-01662-w.pdf
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5. Chang AXM, Culurciello E (2017). Hardware accelerators for recurrent neural networks on FPGA. In: 2017 IEEE international symposium on circuits and systems (ISCAS) (pp. 1–4). IEEE. https://doi.org/10.1109/ISCAS.2017.8050816.
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