| RBF神经网络在围岩位移预测中的应用 |
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| 引用本文： | 郭得令,李新平,张成良. RBF神经网络在围岩位移预测中的应用[J]. 土工基础, 2007, 21(2): 64-66 |
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| 作者姓名： | 郭得令 李新平 张成良 |
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| 作者单位： | 武汉理工大学土木工程与建筑学院,武汉,430070 |
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| 摘 要： | 选择现场监测的围岩位移数据为样本,利用径向基函数RBF神经网络具有强大的非线性影射能力和收敛速度快的特点,建立围岩位移预测神经网络模型进行位移预测。通过工程实例监测数据测试表明预测值与实际位移植吻合较好,用该方法进行位移预测不仅有效而且可行。
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| 关 键 词： | 围岩位移 径向基函数RBF神经网络 预测 |
| 文章编号： | 1004-3152(2007)02-0064-03 |
| 修稿时间： | 2006-01-09 |
Application of RBF Nerve Network in Prediction of Surrounding Rock Displacement |
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| GUO De ling,LI Xin ping,ZHANG Cheng liang. Application of RBF Nerve Network in Prediction of Surrounding Rock Displacement[J]. Soie Engineering and Foundation, 2007, 21(2): 64-66 |
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| Authors: | GUO De ling LI Xin ping ZHANG Cheng liang |
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| Abstract: | A method of predicting surrounding rock displacement is set up by using the RBF nerve network's function of powerful nonlinear mapping and fast convergence rate, in which the monitoring data of surrounding rock displacement are chosen. From the monitoring data, it seems that the predicting data coincides well with the practical monitoring data, hence this method is not only effective but also feasible. |
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| Keywords: | surrounding rock displacement RBF nerve network prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
