Study On Construetion Supervision Method Of Self-anchored Cable-stayed Suspension Bridge Based On Neural Network

In this paper, information-based on domestic and foreign construction control, to the other bridge construction control methods for drawing, using of modern mathematical methods, with case studies of artificial neural networks in the self-anchored cable-stayed suspension system-mixed bridges ,specific research work are as follows.1)Reference to relevant information at home and abroad, focused on discussing and comparing several commonly used methods of their advantages and disadvantages, the certification of more superiority of the neural network in bridge construction control, based on the basic theory of the neural network for the construction of control. Analysis of basic principles of artificial neural network, proved the possibility of the artificial neural network in the self-anchored suspension - cable-stayed bridge construction mixed system of monitoring.2)With the bridge monitoring data of Changzhou of Jiangsu Dragon Castle Bridge, using the analysis method of real bridge Midas modeling, monitoring the main parameters of the bridge; used the BP neural network parameters of the real bridge to identify and amendments.3)The parameters amended are used in the model calculating, and compared with the measured results, the difference between the two is very small, prove the correctness of this recognition. Artificial neural network to monitor the construction, use MATLAB language programming on monitoring data analysis.