【摘要】 以BP人工神经网络模型为基础,建立预测模型,以小区某栋建筑物1期～8期的沉降观测数据为输入数据和输出数据,对网络模型进行训练,并对9期～12期实际观测值与预测值进行了比较,结果比较理想,从而验证了采用BP人工神经网络模型进行建筑物沉降的预测是可行的。更多还原

【Abstract】 Based on BP artificial neural network model,the prediction model is established.Taking the settlement detection data from phase 1 to phase 8 of a district building as input data and output data,the network model is trained.The paper also compares actual detection value to prediction value from phase 9 to phase 12.The results are relatively ideal,which testifies feasibility of applying BP artificial neural network model to predict building settlement.更多还原