| 应用径向基概率神经网络研究地震滑坡 |
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| 引用本文： | 陈晓利,赵健,叶洪.应用径向基概率神经网络研究地震滑坡[J].地震地质,2006,28(3):430-440. |
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| 作者姓名： | 陈晓利 赵健 叶洪 |
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| 作者单位： | 1. 中国地震局地质研究所,北京,100029
2. 北京大学地球与空间科学学院,北京,100871 |
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| 基金项目： | 科技部科技基础性工作专题项目 |
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| 摘 要： | 地震滑坡是一种有着严重危害的次生地震灾害形式,形成机制复杂,涉及因素较多。地震滑坡在空间上不是完全随机分布的,换言之,地震滑坡的影响因素和它的分布规律之间存在着相关性。利用径向基概率神经网络自学习的特性,通过对样本训练、检测,得到一个稳定可靠的模式识别网络,并用其对工作区进行潜在地震滑坡危险性区划,通过结果对比,在本例中识别精度达到89.9%以上,显示是一次有效的尝试
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| 关 键 词： | 径向基概率神经网络 地震滑坡 GIS 危险性预测 |
| 文章编号： | 0253-4967（2006）03-0430-11 |
| 收稿时间： | 2005-11-05 |
| 修稿时间： | 2006-04-18 |
APPLICATION OF RBPNN IN THE RESEARCH OF EARTHQUAKE-INDUCED LANDSLIDE |
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| CHEN Xiao-li,ZHAO Jian,YE Hong.APPLICATION OF RBPNN IN THE RESEARCH OF EARTHQUAKE-INDUCED LANDSLIDE[J].Seismology and Geology,2006,28(3):430-440. |
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| Authors: | CHEN Xiao-li ZHAO Jian YE Hong |
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| Institution: | 1. Institute of Geology, China Earthquake Administration, Beijing 100029, China; 2.Department of Geology, Peking University, Beijing 100871, China |
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| Abstract: | As we know, the landslide caused by earthquake does not distribute at random but has its destinations. This means that there are some inner relationships between the distribution and the factors which affect the happening of the landslide. But due to the complex mechanism of the earthquake-induced landslide, it s difficult to describe the relationship clearly. For expressing the non-linear relationship, we create the artificial network with the Radial Basis Probabilistic Neural Network Algorithm by using th |
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| Keywords: | GIS |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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