| 开挖降水条件下基坑周围建筑物沉降预测研究 |
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| 引用本文： | 李云,张建俊.开挖降水条件下基坑周围建筑物沉降预测研究[J].山西建筑,2011,37(32):59-60. |
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| 作者姓名： | 李云 张建俊 |
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| 作者单位： | 1. 四川省蜀通岩土工程公司,四川成都,610203
2. 辽宁工程技术大学土木与交通学院博士研究生,辽宁阜新,123000 |
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| 摘 要： | 利用Gompertz曲线模型、灰色理论模型和BP神经网络模型等单一预测模型对基坑周围建筑物沉降进行预测,之后将结果与三者优化组合模型的预测结果进行比较分析,结果表明：单一模型预测结果的精度比三者优化组合模型的精度较低,而其中通过最优加权法组合的模型预测精度最高。
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| 关 键 词： | Gompertz曲线模型 灰色理论模型 BP神经网络模型 沉降预测 |
Research on settlement prediction of foundation pit surrounding building in excavation and dewatering conditions |
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| LI Yun ZHANG Jian-jun.Research on settlement prediction of foundation pit surrounding building in excavation and dewatering conditions[J].Shanxi Architecture,2011,37(32):59-60. |
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| Authors: | LI Yun ZHANG Jian-jun |
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| Affiliation: | LI Yun ZHANG Jian-jun |
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| Abstract: | This paper made prediction to foundation pit surrounding building settlement using the Gompertz curve model,grey theory model and BP neural network model and other single forecasting model,later made comparative analysis on results and prediction results of three portfolio optimization model,the results showed that the results accuracy of single predict model was lower than three portfolio optimization model,and the forecast accuracy of optimal weighted combination model was the highest. |
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| Keywords: | Gompertz curve model grey theory model BP neural network model settlement prediction |
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