关键词: 连续刚构桥, 施工控制, BP神经网络, 参数识别, 弹性模量

Abstract: With the capacity of adaptive self-study，non-linear representation，good robusticity and error tolerance as well as rapid convergence，BP neural network could efectively solve the core problem of parameters identification in the construction of continuous rigid flame bridge.Through the example，a conclusion is drawn that the result of parameters estimation using BP network is very identical with the measure，which has practical significance with satisfactory accuracy.If the accuracy in the classic method is rather low especially in problems with non-linear and uncertain system control and SO on，the BP neural network can be used well.

Key words: continuous rigid frame bridge, construction control, BP neural network, parameters identitTcation, elastic modulus