| 神经网络方法在洞室施工期应力及变形预测中的应用及其改进 |
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| 引用本文： | 常斌,李宁,马玉扩.神经网络方法在洞室施工期应力及变形预测中的应用及其改进[J].岩石力学与工程学报,2004,23(7):1132-1135. |
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| 作者姓名： | 常斌 李宁 马玉扩 |
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| 作者单位： | 西安理工大学岩土工程研究所,西安,710048 |
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| 摘 要： | 在有限元法计算结果的基础上，用神经网络方法对洞室施工期应力及变形进行预测。对BP神经网络算法进行了适当的改进，并提出了几种新的改进方法，得到了良好的效果。所得的结论具有较高的拟合精度，并有实用价值。
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| 关 键 词： | 洞室 隧道工程 BP网络 非线性系数 遗传算法 模拟退火算法 Hebb理论 |
| 文章编号： | 1000-6915(2004)07-1132-04 |
| 收稿时间： | 2002-2-22 |
| 修稿时间： | 2002-8-27 |
IMPROVEMENT AND APPLICATION OF ANN METHOD IN STRESS AND DEFORMATION PREDICTIONS DURING TUNNEL EXCAVATION |
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| Chang Bin,Li Ning,Ma Yukuo.IMPROVEMENT AND APPLICATION OF ANN METHOD IN STRESS AND DEFORMATION PREDICTIONS DURING TUNNEL EXCAVATION[J].Chinese Journal of Rock Mechanics and Engineering,2004,23(7):1132-1135. |
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| Authors: | Chang Bin Li Ning Ma Yukuo |
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| Abstract: | The stresses and deformations of rocks during tunnel excavation are predicted using an ANN approach based on results of FEM simulation. The algorithm of the BP network technique is improved appropriately. Several new improving methods are developed and lead to good results. The approach proposed in this paper can obtain more accurate and more suitable results for practical applications. |
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| Keywords: | tunneling engineering BP network non-linear coefficient genetic algorithm anneal algorithm Hebb theory |
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