Study Of Application Of Artificial Neural Network In Detection For Cable-Stayed Bridge

It is very important for maintaining, monitoring and designing the great bridge to analyze and check the cable-stayed bridge. The focus of the research of checking bridge is an application of vibration method in checking bridge scathelessly, but the problem of damage identification is one of awaiting solving problems, and the answer of the adverse question for this kind of damage is often not only, which is just the difficulty of the question. Adopting the blurry sort analysis method solves the damage forecasting problem etc. more, and artificial nerve network is a urgeoning marginal and cross subject, so the nonlinear spacious dynamic system conposed by a great deal nerve elements, which possesses re-learning ability , nonlinear , allowing-wrong ability and collateral dealing ability, has prodigious advantage for solving above-mentioned problems. The artificial nerve network model for checking cable-stayed bridge is proposed on base of analyzing the structure characteristic , checking method, structure damage identification basic theory of cable-stayed bridge and the basic theory of artificial nerve network in detail, and the project example used by MATLAB language is given, and a satisfying network output outcome is obtained to show the influence and wide prospect of the application of the artificial nerve network in project.