| 模糊优选神经网络在边坡稳定性分析中的应用 |
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| 引用本文： | 方云,陈爱云,孙兵.模糊优选神经网络在边坡稳定性分析中的应用[J].水文地质工程地质,2003(Z1). |
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| 作者姓名： | 方云 陈爱云 孙兵 |
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| 作者单位： | [1]中国地质大学工程学院 [2]中国地质大学工程学院 武汉 [3]武汉 430074铁道部第四勘察设计院岩土处武汉 430063 |
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| 摘 要： | 本文应用模糊优选神经网络理论,建立了边坡稳定性评价模型,综合分析了影响边坡稳定性的各种因素,根据它们作用程度的不同,赋予不同的权值,通过对收集到的边坡稳定性实例进行学习,提出了与优属度有关的函数关系式。可以看出:该方法具有精度高、收敛速度快、权值调整模型好等优点。
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| 关 键 词： | 模糊优选 边坡稳定性 权值 优属度 神经网络 |
Application of fuzzy optimization neural networks in analysis of slope stability |
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| FANG Yun,CHEN Ai-yun.Application of fuzzy optimization neural networks in analysis of slope stability[J].Hydrogeology and Engineering Geology,2003(Z1). |
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| Authors: | FANG Yun CHEN Ai-yun |
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| Institution: | FANG Yun~1,CHEN Ai-yun~ |
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| Abstract: | With application of fuzzy optimization neural networks theory, a model has been constructed for estimation of slope stability. Similarly, every influence of slope stability is discussed commonly. According to different content of their actions, the different index value is assigned to different influence. By the learning of some samples of slope stability, function pattern in relation to subordinate degree to optimization has been established. It may be seen that this model has high accuracy, fast convergence rate and good model in adjusting index values. |
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| Keywords: | fuzzy optimization slope stability index values subordinate degree to optimization neural networks |
| 本文献已被 CNKI 维普 等数据库收录！ |
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