Operation expressway tunnel maintenance engineering decision-making method based on GA-BP neural network

The invention relates to an operating highway tunnel maintenance engineering decision-making method based on a GA-BP neural network, and the method comprises the steps: selecting indexes which have the influence on the health degree score of an operating tunnel as an input layer, building a quantitative and scoring health degree evaluation standard of the operating highway tunnel based on an analytic hierarchy process and an expert investigation method, and carrying out the evaluation of the health degree of the operating highway tunnel. And giving a health degree score of the operating highway tunnel under the influence of the indexes as an output layer. The initial weight and threshold value of the BP neural network are optimized by using a genetic algorithm, the defect that a local optimal solution appears in BP neural network training is solved, and a neural network model meeting the precision requirement is obtained by training a data sample. And predicting the health degree score of the operating expres