| 基坑变形的动态神经网络实时建模预报方法 |
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| 引用本文： | 倪立峰,李爱群,韩晓林,汪凤泉.基坑变形的动态神经网络实时建模预报方法[J].振动．测试与诊断,2002,22(3):217-220. |
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| 作者姓名： | 倪立峰 李爱群 韩晓林 汪凤泉 |
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| 作者单位： | 东南大学土木工程学院,南京,210096 |
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| 摘 要： | 为了对基坑变形进行更准确的监测和预报，根据基坑变形的特点，提出了应用动态递归神经网络进行实时建模预报，并采用一种改进的在线学习算法，较好地描述了基坑变形的动态特性。通过对某工程基坑的监测，验证了该方法的有效性。
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| 关 键 词： | 基坑变形 动态神经网络 实时建模 预报方法 |
| 修稿时间： | 2000年8月29日 |
New Method of Real-Time Modeling Prediction about Deep Excavation Deformation |
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| Ni Lifeng,Li Aiqun,Han Xiaolin,Wang Fengquan.New Method of Real-Time Modeling Prediction about Deep Excavation Deformation[J].Journal of Vibration,Measurement & Diagnosis,2002,22(3):217-220. |
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| Authors: | Ni Lifeng Li Aiqun Han Xiaolin Wang Fengquan |
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| Abstract: | In accordance with the characteristic of deep excavation deformation,a new real time modeling method is presented for predicting the deformation,based on an improved Elman neural network.An improved on line learning algorithm is introduced to describe the dynamic behavior of deep excavation deformation.The new method has been verified to be more accurate and convenient than traditional one. |
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| Keywords: | excavation deformation analysis neural network real time modeling prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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