| Abstract: |
Artificial Neural Networks have become a common solution for many real world
problems. Many industrial, commercial and research applications need hardware
implementation due to issues regarding stability, speed, price and size. This paper presents
the implementation of a feed forward Artificial Neural Network in FPGA using two
embedded processors. The processors used are Xilinx hardcore PowerPCs. To verify the
implementation developed, a control loop of Direct Inverse Control was simulated using a
Personal Computer and a FPGA, thereby implementing a direct and an inverse model of a
system, respectively. The results obtained show that the hardware implementation works
properly and introduces no additional error. |
