BP neural network and adaptive filter combined model was built with variance theory according to the characteristic of simulation and forecast value from independent BP neural network model and adaptivernfilter model fluctuating relatively to the true value. The combined model was used to analyze and forecast thernland subsidence around foundation of the third period project of Tianjin Fuyu Square. High accuracy of therncombined model was proved by comparing the combined model data with the results from independent BP neural network model and adaptive filter model.%根据BP神经网络模型和自适应滤波模型模拟预测值相对于真实值上下波动的特点,应用方差理论建立BP神经网络自适应滤波组合模型,将其应用到天津富裕广场三期工程基坑周边地面沉降分析预测中.通过与独立的BP神经网络和自适应滤波模型模拟预测数据对比,证明了组合模型模拟预测的高精确性.
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