利用模糊神经网络进行砂土液化势评判 |
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引用本文: | 张晓晖,黄鼎成,吴亚萍,尚伟宏.利用模糊神经网络进行砂土液化势评判[J].工程地质学报(英文版),2001,9(2):209-213. |
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作者姓名: | 张晓晖 黄鼎成 吴亚萍 尚伟宏 |
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作者单位: | 1.中国科学院地质与地球物理研究所,北京100029; |
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基金项目: | 国家重点实验室基金,, |
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摘 要: | 利用模糊信息分析表达知识和人工神经网络在映射能力方面的优势, 选取应力比、震级、地面运动最大加速度、标贯击数、地下水位作为评价参数指标, 构造砂土液化势识别的模糊神经网络模型。验证和应用结果表明, 模糊神经网络模型可提供更高的映射能力, 是砂土液化势评价预测的有效手段。
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关 键 词: | 模糊模式识别 模糊神经网络 砂土液化势 评判 |
收稿时间: | 2000-01-12 |
修稿时间: | 2000年1月12日 |
USING FUZZY NEURAL NETWORK TO EVALUATE SAND LIQUEFACTION POTENTIAL |
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Institution: | 1.Institute of geology and Geophysics, Chinese Academy of Sciences, Beijing 100029;2.Lanzhou Urban Construction Institute, Lanzhou 730000;3.Jilin Oilfield Subcompany,Songyuan 138000 |
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Abstract: | From the data of many factors such as earthquake magnitude, stress ratio, SPT value, peak ground surface acceleration, and water table, a fuzzy neural network model was constructed and verified for classifying sand liquefaction potential in the paper. The result obtained is superior to those derived by conventional fuzzy clustering means. It indicates that this methodology is a potentially useful tool in objectively evaluating and predicting liquefaction potential of sand. |
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Keywords: | Fuzzy pattern recognition Fuzzy neural network Sand liquefaction potential Evaluation |
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