Paper
28 November 2022 Implementation of BP neural network acceleration based on FPGA
Jun Yang, Wei Chen, YaFeng Wang
Author Affiliations +
Proceedings Volume 12503, International Conference on Network Communication and Information Security (ICNCIS 2022); 125030K (2022) https://doi.org/10.1117/12.2657149
Event: International Conference on Network Communication and Information Security (ICNCIS 2022), 2022, Qingdao, China
Abstract
In order to realize the real-time requirement of BP neural network, this paper designs the hardware of BP neural network based on FPGA technology, in order to better play the performance of its neural network.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jun Yang, Wei Chen, and YaFeng Wang "Implementation of BP neural network acceleration based on FPGA", Proc. SPIE 12503, International Conference on Network Communication and Information Security (ICNCIS 2022), 125030K (28 November 2022); https://doi.org/10.1117/12.2657149
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KEYWORDS
Neural networks

Field programmable gate arrays

Neurons

Data storage

Signal processing

Data processing

Evolutionary algorithms

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