Application of Genetic Algorithm Based BP Neural Network to Parameter Inversion of Surrounding Rock and Deformation Prediction

Reliable mechanical parameters of surrounding rock are imperative for the accurate prediction of tunnel deformation. A GA-BP based neural network back analysis system is proposed and automatic searching for BP network parameters can be realized, with the efficiency of inversion analysis increasing greatly. This GA-BP intelligent back analysis system is applied to the inversion of rock mass parameters and deformation prediction for the Dadingshan tunnel passing underneath the Shenyang-Dandong expressway. The results show that the convergence speed of the GA-BP back analysis system is fast and the parameter inversion of the surrounding rock and deformation prediction is accurate.