Displacement Back-Analysis of rock-fill dam based on particle swarm optimization and genetic neural network algorithm

In view of the complexity of Back Analysis of rock-fill material parameter, this paper uses genetic algorithm optimization BP neural network weights and threshold, simulated finite element calculation of rockfill dam by genetic neural network, combined with the theory of particle swarm optimization algorithm, and has realized inverse analysis of particle swarm optimization and genetic neural network. The results showed that: the simulation result coincides well with the experimental result, and inversion results could meet the computing requirements. This method can be widely used to solve various complicated engineering problems that target functions can't be expressed by apparent functions of decisive variables.