Through establishing the cable-stayed bridge simulation model,the paper analyzes major beam linear changing trend and its numerical influencing factors,establishes a nonlinear mapping relation by applying BP neural network,predicts continuous section elevation,compares the predicted value to simulation value,and finally testifies that:it is feasible to predict large-span cable-stayed bridge beam linear by applying BP neural network.%通过建立某斜拉桥仿真模型，分析了主梁线型变化趋势及影响其数值的因素，并利用 BP 神经网络，建立了一个非线性映射关系，预测了后续节段的前端标高，将预测值与仿真值作了比较，验证了 BP 神经网络预测大跨度斜拉桥主梁线形的可行性。
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