Bridge safety evaluation by RBF neural network with genetic algorithm

Bridge safety evaluation is very important to ensure the safe work of bridge. In the study, RBF neural network with genetic algorithm is presented to evaluate bridge safety, genetic algorithm is adopted to select the parameters of RBF neural network to improve the performance of RBF neural network. The influencing factors and evaluation index of bridge safety evaluation are determined. Then, the experimental data on bridge safety evaluation are given, and bridge safety evaluation is created. It can be seen from the experimental results that the evaluation ability of GRBFNN is better than that of RBFNN and BPNN.