| 基于人工神经网络的砂土液化势评价 |
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| 引用本文： | 徐洪钟,吴浩.基于人工神经网络的砂土液化势评价[J].水文地质工程地质,1998,25(1):16-18. |
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| 作者姓名： | 徐洪钟 吴浩 |
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| 作者单位： | 南京大学地球科学系 |
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| 摘 要： | 本文利用静力触探（ＣＰＴ）场地液化数据，建立了液化势判定的反向传播神经网络模型，研究表明，同传统方法相比，人工神经网络方法在判别砂土液化势方面是可行的。
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| 关 键 词： | 静力触探 液化势 人工神经网络 砂土液化 |
Evaluation of sand soil liquefaction potential based on artificial neural network |
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| Xu Hongzhong et al..Evaluation of sand soil liquefaction potential based on artificial neural network[J].Hydrogeology and Engineering Geology,1998,25(1):16-18. |
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| Authors: | Xu Hongzhong |
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| Institution: | Xu Hongzhong et al. |
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| Abstract: | With the application of back propagation neural network model, evaluation method for liquefaction from actual CPT field data is presented in this paper. The study indicated that method is effective compared with conventional methods. |
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| Keywords: | cone penetration test liquefaction potential artificial neural network back propagation algorithm |
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