Design of a BP neural network SoC based on domestic embedded CPU

Design of a BP neural network SoC based on domestic embedded CPU

The paper designs a Back Propagation(BP)neural network system on chip(SoC) based on the domestic embedded Central Processing Unit(CPU) CK803S and its SoC design platform. The design structure of SoC and the design scheme of BP neural network hardware accelerator are given, and for the non-linear BP...

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Bibliographic Details
Main Author: Xu Wenliang
Format: Article
Language:zho
Published: National Computer System Engineering Research Institute of China 2021-04-01
Series:Dianzi Jishu Yingyong
Subjects:
bp neural network
domestic embedded processor ck803s
soc design platform
fpga implement
Online Access:http://www.chinaaet.com/article/3000130561
Description
Summary:The paper designs a Back Propagation(BP)neural network system on chip(SoC) based on the domestic embedded Central Processing Unit(CPU) CK803S and its SoC design platform. The design structure of SoC and the design scheme of BP neural network hardware accelerator are given, and for the non-linear BP activation functions Sigmod and Guass, a method that can save hardware resources while not affect the speed is selected to implement them,and optimize accelerator′s performance and power consumption.The verification results show that the design can meet the requirements.
ISSN:0258-7998

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