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确定混凝土桥梁施工控制中参数估计的类别 ,选用人工神经网络的三层前馈性网络 ,改进BP算法 ,通过对混凝土大跨度桥梁主梁物性参数实时估计要素的研究 ,得到了统一的求解程序 ,解决了混凝土大跨度桥梁施工控制中主梁参数实时识别的问题。在此基础上 ,提出了混凝土大跨度桥梁施工质量新的评价指标。
The classification of parameter estimation in concrete bridge construction control is determined. The three-layer feedforward network of artificial neural network is selected to improve the BP algorithm. Through the research of the real-time estimation of physical parameters of the main girder of concrete long-span bridge, Solve the problem of real-time identification of main girder parameters in construction control of long-span concrete bridges. On this basis, proposed a new evaluation index of construction quality of long-span concrete bridge.