5D Hindmarsh Rose neural network fast synchronization based on FPGA

Abstract

In response to the difficulty of implementing chaotic systems on FPGA, a method for fast synchronization of 5D Hindmarsh Rose (5DHR) neural networks using FPGA is studied. Firstly, a system generator model is established in Simulink of Matlab and then transformed into an engineering project. Finally, it is debugged on Vivado and burned onto FPGA. The synchronization of two 5DHR neural networks is realized by giving full play to the high-speed parallel computing ability and powerful interface ability of FPGA. The experimental results show that the proposed algorithm is feasible.