| 人工神经网络在边坡工程中的应用 |
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| 引用本文： | 熊锐,彭辉,刘德富.人工神经网络在边坡工程中的应用[J].三峡大学学报(自然科学版),2005,27(6):531-534. |
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| 作者姓名： | 熊锐 彭辉 刘德富 |
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| 作者单位： | 三峡大学,土木水电学院,湖北,宜昌,443002 |
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| 摘 要： | 边坂具有复杂的变形破坏机理和模式．目前分析边坡变形破坏机理及评价其稳定性的一些精确分析方法由于应用起来存在随意性和不确定性，在很多情况下是不适宜的．因此，建立一种把人为影响减少到最低程度的、能融定量与定性指标于一体的边坡稳定性评价方法是非常必要的．利用人工神经网络（ANN）探索建立的这样一类模型，用于边坡稳定性评价可望建立接近人类思维模式的定量与定性指标相结合的综合评价模型．
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| 关 键 词： | 人工神经网络 边坡工程 应用 评价模型 |
| 文章编号： | 1672-948X(2005)06-0531-04 |
| 修稿时间： | 2005年9月28日 |
Application of ANN to Slope Engineering |
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| Xiong Rui,Peng Hui,Liu Defu.Application of ANN to Slope Engineering[J].Journal of China Three Gorges University(Natural Sciences),2005,27(6):531-534. |
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| Authors: | Xiong Rui Peng Hui Liu Defu |
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| Abstract: | Slopes have complicated deformation mechanism and different failure patterns.The slope stability problems have been studied by researchers for a long time.The randomness and uncertainty in applying those accurate analyzing methods seem inevitable.So it is necessary to build a slope stability analysis method that can reduce the influence of researchers themselves to some extent and can produce qualitative and quantitative stability indices.For this purpose,a stability analysis method by means of artificial neural network(ANN) is proposed.The method gives the qualitative and quantitative stability indices in a way like human thought. |
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| Keywords: | ANN slope engineering application assessment model |
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