The prediction method of long-span cable-stayed bridge construction control based on BP neural network
Yuansong Li, Xinping Li, Aiping Yang · International Conference on Mathematical and Computational Methods in Science and Engineering · 2007
Based on a critical examination of the present methods for the prediction of construction control of long-span cable-stayed bridge, an improved method, the BP neural network model method, was introduced which has been applied to predict the bending defection of deck and the cable force in construction monitor of a cable-stayed bridge of the Yangtse River. The results indicate that the BP network model has a better forecast precision, which can fully satisfy the need of the engineering.