| 遗传BP神经网络叠加区域沉降的工程沉降分析与预测方法 |
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| 引用本文： | 黄惠峰,张献州,甄亚男,乐亚南.遗传BP神经网络叠加区域沉降的工程沉降分析与预测方法[J].测绘工程,2014(6):59-62. |
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| 作者姓名： | 黄惠峰 张献州 甄亚男 乐亚南 |
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| 作者单位： | 西南交通大学地球科学与环境工程学院;中国建筑西南勘察设计研究院有限公司; |
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| 基金项目： | 铁道部科技研究开发计划资助项目(2012G009-C);铁道部科技发展计划资助项目(2008G031-5);中央高校基本科研业务费专项资金资助项目(SWJTU10ZT02) |
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| 摘 要： | 根据区域沉降地区工程沉降监测特点,将在一定程度上能够反映区域沉降的基准点和工作基点变形信息引入遗传BP神经网络工程沉降预测分析中,研究出一种基于遗传BP神经网络叠加区域沉降的工程沉降分析与预测方法.工程实例建模分析表明,其沉降预测值拟合精度较传统方法得到较大提高,能更好地反映工程建筑物的沉降情况.
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| 关 键 词： | 区域沉降 工程沉降 叠加分析 GA-BP网络预测 拟合精度 |
Engineering subsidence analysis and prediction by GA-BP neural networks superimposed on regional subsidence |
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| Institution: | HUANG Hui-feng, ZHANG Xian-zhou, ZHEN Ya-nan, LE Ya-nan (1. School of Geosciences and Environmental Engineering, Southwest Jiaotong Universit：1, Chengdu 610031, China; 2. China Southwest Architectural Design Research Institute Co. , Ltd. Chengdu 610031, China) |
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| Abstract: | Based on the monitoring features of regional subsidence area, it presents the reference points andwork bps which can reflect regional subsidence to the GA-BP neural netrork subsidence prediction andanalysis. A method of engineering subsidence analysis and prediction baed on GA-BP neural networkssuperimposed on regional subsidence is given. According to the engineering examples, the settlementprediction value fitting accuracy is greatly improved compared with traditicnal methods, which will reflectthe settlement of the engineering building better and verify the feasibility of this method. |
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| Keywords: | regional subsidence engineering subsidence superposition analysis GA-BP networkprediction fitting accuracy |
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