Deformation prediction model of surrounding rock of soft rock tunnel based on SSA-ENN neural network

In order to improve the accuracy of the deformation prediction of the surrounding rock of soft rock tunnels, this paper proposes an intelligent prediction method for the deformation of the surrounding rock of soft rock tunnels based on SSAENN neural network, and verifies the effectiveness and engineering applicability of the SSA-ENN neural network prediction model based on the public tunnel large deformation dataset and a tunnel engineering case. The results show that, compared with other methods, the proposed model can accurately predict the deformation of the surrounding rock of soft rock tunnels, and has good prediction accuracy, which can provide an efficient new method for the prediction of tunnel engineering deformation and provide reliable theoretical support for the safe construction of tunnels.