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| BP神经网络在高层建筑沉降预测中的应用 | |
| 引用本文： | 魏健,胡吉平,谭衢霖,刘万松. BP神经网络在高层建筑沉降预测中的应用[J]. 北京测绘, 2013, 0(2): 25-27,33 |
| 作者姓名： | 魏健 胡吉平 谭衢霖 刘万松 |
| 作者单位： | 北京交通大学土建学院,北京,100044;北京交通大学土建学院,北京,100044;北京交通大学土建学院,北京,100044;北京交通大学土建学院,北京,100044 |
| 基金项目： | 国家自然科学基金项目，中央高校基本科研业务费专项项目 |
| 摘 要： | 利用人工神经网络强大的非线性映射和学习能力,提出了基于BP人工神经网络的建筑物沉降预测方法。以某实例工程1期～12期的沉降观测数据为基础,建立网络模型,并对13期～l6期实际观测值与预测值进行了比较,结果比较理想,从而验证了改进的BP人工神经网络对建筑物的沉降预测是可行的,且具有广阔的工程应用价值。 |
| 关 键 词： | BP神经网络 建筑物沉降 网络模型 沉降预测 |
Application of BP artificial neural network to predit the settlement of tall buildings |
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| WEI Jian , HU Ji-ping , TAN Qu-lin , LIU Wan-song. Application of BP artificial neural network to predit the settlement of tall buildings[J]. Beijing Surveying and Mapping, 2013, 0(2): 25-27,33 | |
| Authors: | WEI Jian HU Ji-ping TAN Qu-lin LIU Wan-song |
| Affiliation: | (School of Civil Engineering, Beijing Jiaotong University, Beijing100044, China) |
| Abstract: | Here we proposed a prediction method for the settlement of buildings based on BP artificial neural network withits strong nonlinear mapping and learning ability. We built a network model with the settlement observation data from phase 1 to 12 of an example project as a foundation, and compared the values actually observed with those we predicted from phase 13 to 16. Satisfactory results verified the feasibility of using the improved BP artificial neural network for the settlement prediction and the wide engineering application value. |
| Keywords: | BP neural network building settlement network model settlement prediction |
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