基于遗传算法优化BP神经网络的非线性环境建模

In this paper, a nonlinear environment dynamics model for BP neural network based on genetic algorithm optimization is studied, and a single freedom feedback remote operation experimental platform with two typical operating environments are constructed.Firstly, the characteristics of genetic algorithm and BP neural network are analyzed and the nonlinear environment model is constructed.Then the relationship between the motion state information, contact force information and environmental dynamics parameters is analyzed and the cascade neural network structure is proposed.Finally, the model is applied to experimental verification and good results are obtained.This paper provides a theoretical reference for the further study of nonlinear environmental modeling technology in the force feedback remote operating system.