| 基于遗传-神经网络的单桩竖向极限承载力预测方法研究 |
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| 引用本文： | 刘勇健.基于遗传-神经网络的单桩竖向极限承载力预测方法研究[J].岩土力学,2004,25(1):59-63. |
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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 建设学院， 广东 广州 510500 |
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| 基金项目： | 广东省自然科学基金资助项目(2001005)，广东工业大学重点学科基金(20216)。 |
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| 摘 要： | 分析了BP神经网络的缺陷和遗传算法的特点，建立了基于遗传-BP神经网络的单桩竖向极限承载力预测模型。实例研究表明，预测模型性能良好、预测精度提高、简便易行、行之有效，该方法具有广泛的应用前景。
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| 关 键 词： | 遗传算法 BP神经网络模型 单桩 竖向极限承载力 |
| 文章编号： | 1000-7598-(2004)01-0059-05 |
| 收稿时间： | 2003-09-02 |
| 修稿时间： | 2003年9月2日 |
Study of prediction method of vertical ultimate bearing capacity of single pile based on genetic algorithm and neural network |
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| LIU Yong-jian.Study of prediction method of vertical ultimate bearing capacity of single pile based on genetic algorithm and neural network[J].Rock and Soil Mechanics,2004,25(1):59-63. |
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| Authors: | LIU Yong-jian |
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| Institution: | College of Construction, Guangdong University of Technology, Guangzhou 510643, China |
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| Abstract: | The shortcomings of error back-propagation (BP) neural network and the characteristics of genetic algorithm (GA) are analyzed. Based on GA and BP algorithm, the prediction model of vertical ultimate bearing capacity of single pile is built. Real example research shows that the prediction model which based on GA and BP algorithm owns good quality, high precision and is easy to deal with. The method is feasible, effective and has wide applied prospects as well. |
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| Keywords: | genetic algorithm BP neural network Single pile Vertical ultimate bearing capacity |
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