Hardware neural network on an SOPC platform

Yifei Liu; Mingyue Ding; Xia Hu; Yanhong Zhou

doi:10.1117/12.832399

30 October 2009 Hardware neural network on an SOPC platform

Yifei Liu, Mingyue Ding, Xia Hu, Yanhong Zhou

Proceedings Volume 7496, MIPPR 2009: Pattern Recognition and Computer Vision; 749625 (2009) https://doi.org/10.1117/12.832399
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

SOPC (System on Programmable Chip) is an on-chip programmable system based on large scale Field Programmable Arrays (FPGAs). This paper presented an implementation of an SOPC system with a custom hardware neural network using Altera FPGA chip-EP2C35F672C. The embedded Nios processor was used as the test bench. The test result showed that the SOPC Platform with hardware neural network is faster than the software implementation respectively and the accuracy of the design meets the requirement of system. The verified SOPC system can closely model real-world system, which will have wide applications in different areas such as pattern recognition, data mining and signal processing.

Citation Download Citation

Yifei Liu, Mingyue Ding, Xia Hu, and Yanhong Zhou "Hardware neural network on an SOPC platform", Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 749625 (30 October 2009); https://doi.org/10.1117/12.832399

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