| 基于人工神经网络的泥石流灾害危险性评价 |
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| 引用本文： | 黄双,李广杰,陈伟韦.基于人工神经网络的泥石流灾害危险性评价[J].山西建筑,2007,33(3):1-2. |
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| 作者姓名： | 黄双 李广杰 陈伟韦 |
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| 作者单位： | 吉林大学建设工程学院,吉林,长春,130026 |
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| 基金项目： | 吉林省国土资源厅地质灾害大调查项目(吉国土资发[200504]) |
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| 摘 要： | 以磐石市典型泥石流为样本训练神经网络,结合应用实例,用训练好的网络模型对磐石市的10条泥石流样本作出评价,且评价结果与磐石市实际情况相符合,表明神经网络方法是泥石流危险评价的一种好方法。
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| 关 键 词： | 人工神经网络 泥石流 危险评价 |
| 文章编号： | 1009-6825(2007)03-0001-02 |
| 修稿时间： | 2006-07-31 |
The debris flow risk assessment based on artificial neural network in Panshi city |
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| HUANG Shuang,LI Guang-jie,CHEN Wei-wei.The debris flow risk assessment based on artificial neural network in Panshi city[J].Shanxi Architecture,2007,33(3):1-2. |
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| Authors: | HUANG Shuang LI Guang-jie CHEN Wei-wei |
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| Affiliation: | HUANG Shuang LI Guang-jie CHEN Wei-wei |
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| Abstract: | This paper uses typical debris flow in Panshi city as sample trainning with the neural network,then uses well trainned neural network model making appraisement for the ten pieces of debris flow in Panshi city,and the appraisement result is consistent with appraisement income results of other methods,it indicates that the neural network technology can be the supplement as debris flow risk assessment. |
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| Keywords: | artificial neural network debris flow risk assessment |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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