Research on Decision Tree Algorithm for Civil Engineering Structural Vibration

Structural vibration plays an important role in civil engineering construction and construction, but there is a problem of inaccurate vibration positioning. The traditional genetic algorithm cannot solve the problem of vibration occurrence point in civil engineering construction and construction, and the effect is not ideal. Therefore, a civil engineering structure vibration based on decision tree algorithm is proposed, and the civil engineering structure vibration is analyzed. Firstly, the information gain theory is used to locate the influencing factors, and the indicators is divided according to the requirements of structural vibration to reduce the interference factors in structural vibration. Then, the information gain theory is used to form a decision tree algorithm structural vibration scheme, and the structural vibration results is comprehensively analyzed. The MATLAB simulation results show that under certain evaluation criteria, the decision tree algorithm is superior to the traditional genetic algorithm in terms of structural vibration accuracy and time of structural vibration influencing factors.