BP人工神经网络模型在建筑物沉降预测中应用  

Application of BP artificial neural network model in the prediction of building settlement

作　　者：尚纪斌[1] 

机构地区：[1]南京工程学院建筑工程学院

出　　处：《山西建筑》2011年第34期190-191,共2页Shanxi Architecture

基　　金：南京工程学院校级科研基金(项目编号:KXJ07045)

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。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 pre- diction 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.

关 键 词：BP人工神经网络 预测模型 建筑物沉降 

分 类 号：TU433[建筑科学—岩土工程]