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

Abstract

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.

Keywords

• bp neural network
• domestic embedded processor ck803s
• soc design platform
• fpga implement