| 砂土液化判别的人工神经网络方法 |
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| 引用本文： | 任文杰,苏经宇,窦远明,孙维丰. 砂土液化判别的人工神经网络方法[J]. 河北工业大学学报, 2002, 31(2): 21-25 |
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| 作者姓名： | 任文杰 苏经宇 窦远明 孙维丰 |
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| 作者单位： | 1. 河北工业大学,土建学院,天津,300132
2. 中国建筑科学研究院,工程抗震研究所,北京,100013 |
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| 基金项目： | 国家自然科学基金资助项目（59938180） |
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| 摘 要： | 应用人工神经网络原理，根据地震液化的实测资料，建立了 ８个因素综合考虑的预测砂土液化的ＢＰ神经网络模型．通过实例计算与模型评价，验证了该模型的科学性、高效性并较规范法具有更高的预测精度，不仅为砂土液化提供了又一新的研究方法，而且为进一步完善规范公式提出了建议．
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| 关 键 词： | 人工神经网络 BP算法 砂土液化 模型评价 |
| 文章编号： | 1007-2373(2002)-02-0021-05 |
| 修稿时间： | 2001-05-08 |
A Neural Network Model for Predicting Sand Liquefaction |
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| REN Wen-jie,SU Jing-yu,DOU Yuan-ming,SUN Wei-feng. A Neural Network Model for Predicting Sand Liquefaction[J]. Journal of Hebei University of Technology, 2002, 31(2): 21-25 |
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| Authors: | REN Wen-jie SU Jing-yu DOU Yuan-ming SUN Wei-feng |
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| Affiliation: | REN Wen-jie1,SU Jing-yu2,DOU Yuan-ming1,SUN Wei-feng1 |
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| Abstract: | Applying the principle of the artificial neural network and based on the observation data of sand liquefaction, the BP netwok model with eight factors to synthetically predict sand liquefaction is established. By computing practical example and assessing model, the model. is manifested scientific and effective with more accurate predicting result than norm. The article not only brings forward a new reaserch method of sand liquefaction, but also provides advise to perfect norm. |
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| Keywords: | artificial neural network BP algorithm sand liquefaction assessment on model |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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