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BP神经网络在基坑工程变形预测中的应用
引用本文:潘庆红,吕磊.BP神经网络在基坑工程变形预测中的应用[J].山西建筑,2011,37(12):73-74.
作者姓名:潘庆红  吕磊
作者单位:1. 中国人民解放军95948部队后勤部,甘肃,兰州,732750
2. 徐州空军学院机场工程系,江苏,徐州,221000
摘    要:结合工程实例,针对基坑开挖过程的变形特点,应用BP神经网络和基于粒子群优化算法的BP神经网络对基坑支护结构的变形进行预测,并对两种方法预测结果进行比较分析。结果表明,基于粒子群优化算法的BP网络的泛化预测性能要优于BP网络,预测深基坑地下连续墙结构水平位移更有效。

关 键 词:基坑工程  神经网络  粒子群优化算法

Application of BP neural network in the foundation pit deformation prediction
PAN Qing-hong,LV Lei.Application of BP neural network in the foundation pit deformation prediction[J].Shanxi Architecture,2011,37(12):73-74.
Authors:PAN Qing-hong  LV Lei
Affiliation:PAN Qing-hong LV Lei
Abstract:Combining with specific engineering project,this paper aimed at the degeneration characteristics of the excavation process of foundation pit,applied BP neural network and BP neural network based on particle swarm optimization algorithm to predicted the deformation of foundation pit shoring structure,and analyzed comparatively the results with two methods.The results showed that particle swarm optimization algorithm based on BP network generalization performance preceded BP network prediction,prediction of d...
Keywords:foundation pit engineering  neural network  particle swarm optimization algorithm  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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