| 基于ANN下的岩质路堑深边坡稳定性评价 |
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| 引用本文： | 包惠明,胡长顺.基于ANN下的岩质路堑深边坡稳定性评价[J].交通运输工程学报,2002,2(3):52-56. |
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| 作者姓名： | 包惠明 胡长顺 |
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| 作者单位： | 1. 长安大学,公路学院,陕西,西安,710064;桂林工学院,土木工程系,广西,桂林,541004
2. 长安大学,公路学院,陕西,西安,710064 |
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| 摘 要： | 在综合分析岩质路堑深边坡变形破坏模式的基础上 ,提出评价岩体边坡工程稳定性的指标 ;讨论了神经网络在岩质路堑深边坡稳定性评价中的应用 ,提出了基于 ANN下路堑深边坡稳定性评价的方法 ;通过样本训练和实例预测评价结果表明 ,该方法是有效、可行的
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| 关 键 词： | 人工神经网络 路堑 岩质边坡 高速公路 |
| 文章编号： | 1671-1637(2002)03-0052-05 |
| 修稿时间： | 2002年1月14日 |
Stability evaluation of depth cutting slope in rock mass base on artificial neural network |
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| BAO Hui ming ,HU Chang shun.Stability evaluation of depth cutting slope in rock mass base on artificial neural network[J].Journal of Traffic and Transportation Engineering,2002,2(3):52-56. |
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| Authors: | BAO Hui ming HU Chang shun |
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| Institution: | BAO Hui ming 1,2,HU Chang shun 1 |
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| Abstract: | Based on comprehensively analysis of the deformation and failure mode of depth cutting slope on the rock mass, the evaluating indices of the slope engineering stability in rock mass are pointed out.The application of the theory of artificial neural network(ANN) in the stability cf the depth cutting slope in the rock mass is analyzed.Based on the ANN,the stability evaluation method of the depth cutting slope is presented. The manner is effective and practice by evaluation the practice freeway slope.6 tabs,1 fig,13 refs. |
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| Keywords: | artificial neural network(ANN) cutting depth slope rock slope freeway |
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