| 人工神经网络原理在建筑物震陷预测中的应用 |
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| 引用本文： | 刘勇健. 人工神经网络原理在建筑物震陷预测中的应用[J]. 地震研究, 2001, 24(3): 262-266 |
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| 作者姓名： | 刘勇健 |
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| 作者单位： | 广东工业大学, |
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| 基金项目： | 广东省自然科学基金 (990 14 8)，广东工业大学基金 (982 0 33和 2 0 2 16 )资助 |
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| 摘 要： | 运用人工神经网络原理，对BP型神经网络作了多方面的改进，采用改进后的BP算法，建立了建筑物震陷预测模型，研究结果表明，改进的BP网络性能良好，所建立的模型预测精度高，能满足工程要求，是一种有效可行的预测新方法。
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| 关 键 词： | 建筑物震陷 预测 动态自适应BP网络 地基失效 人工神经网络 |
The Application of Principle of Artificail Neural Networks to Prediction of Building Settlements due to Earthquake Liquefaction |
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| Liu Yongjian. The Application of Principle of Artificail Neural Networks to Prediction of Building Settlements due to Earthquake Liquefaction[J]. Journal of Seismological Research, 2001, 24(3): 262-266 |
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| Authors: | Liu Yongjian |
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| Abstract: | Based on the principle of artificial neural networks,the error back-propagation(BP)algorithm is improved in some aspects.And using the improved algorithm,a model is established for the prediction of building settlements due to earthquake liquefaction.The result show that the developed BP model is advanced,can satisfy the requirement of engineering in practice and is a new effective method for prediction. |
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| Keywords: | Building settlements due to earthquake liquefaction prediction dynamic selfadjustment error back-propagation network failure of foundation |
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