Artificial neural network model-based design and fixed-point FPGA implementation of hénon map chaotic system for brain research
Lei Zhang · 2017
This paper presents an artificial neural network (ANN) model based design for Hénon chaotic systems, and its equivalent hardware model for hardware co-simulation using Field Programmable Gate Arrays (FPGA). Chaotic generators can be used for the study of chaotic behaviors of brain activities captured by Electroencephalogram (EEG). The ANN model is designed with different fixed-point data format and evaluated using MATLAB and Simulink simulation. The chaotic level is measured by calculating the Lyapunov exponent over a certain range of selected system parameters. The ANN models are designed with the consideration of hardware implementation on Field Programmable Gates Array (FPGA) device using fixed-point data format.