A Runtime Programmable Accelerator for Convolutional and Multilayer Perceptron Neural Networks on FPGA-Reference-Cited by-同舟云学术

A Runtime Programmable Accelerator for Convolutional and Multilayer Perceptron Neural Networks on FPGA

Published:2022 Issue: Volume: Page:32-46
ISSN:0302-9743
Container-title:Applied Reconfigurable Computing. Architectures, Tools, and Applications
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Author:

Kabir Ehsan,Poudel Arpan,Aklah Zeyad,Huang Miaoqing,Andrews David

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-19983-7_3

Reference32 articles.

1. Zhao, M., Hu, C., Wei, F., Wang, K., Wang, C., Jiang, Y.: Real-time underwater image recognition with FPGA embedded system for convolutional neural network. Sensors 19(2), 350 (2019)

2. Ann, L.Y., Ehkan, P., Mashor, M.Y., Sharun, S.M.: FPGA-based architecture of hybrid multilayered perceptron neural network. Indonesian J. Electr. Eng. Comput. Sci. 14(2), 949–956 (2019)

3. Ngo, D.M., Temko, A., Murphy, C.C., Popovici, E. FPGA hardware acceleration framework for anomaly-based intrusion detection system in IoT. In 2021 31st International Conference on Field-Programmable Logic and Applications (FPL), pp. 69–75 (2021)

4. Jiang, W., et al.: Wearable on-device deep learning system for hand gesture recognition based on FPGA accelerator. Math. Biosc. Eng. 18(1), 132–153 (2021)

5. Krips, M., Lammert, T., Kummert, A.: FPGA implementation of a neural network for a real-time hand tracking system. In: 2002 Proceedings of the First IEEE International Workshop on Electronic Design, Test and Applications, pp. 313–317 (2002)

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