Application Of hybrid genetic algorithm in ground stress inversion

This paper propose genetic algorithm combined with neural networks, greatly improving the convergence rate of neural network aim at the disadvantage of the traditional BP neural network inversion method is easy to fall into local minimum and slow convergence. Finally, verified the feasibility and superiority of the above methods through the successful initial ground stress inversion of actual project.