Research on the Construction of Highway Engineering Cost Prediction Model Based on GA-BP Algorithm

The cost prediction model is critical in highway engineering, however it has an issue with erroneous performance positioning. The typical Association rule mining algorithm is unable to address the the model construction issue in highway engineering, and the result is insufficient. As a result, a GA-BP algorithm-based research on the construction of highway engineering cost prediction model is provided, and the research on the construction of highway engineering cost prediction model is assessed. To begin, the back propagation theory is used to discover the influencing elements, and the indicators are split based on the cost prediction model's needs to decrease interference factors in the cost prediction model. The back propagation theory is then used to create a GA-BP algorithm cost prediction model scheme, and the outcomes of the cost prediction model are thoroughly examined. The MATLAB simulation results reveal that, under particular evaluation conditions, the GA-BP algorithm outperforms the standard Association rule mining algorithm in terms of cost prediction model accuracy and time of influencing variables.