| 岩土边坡稳定性预报的人工神经网络方法 |
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| 引用本文： | 何翔,李守巨,刘迎曦,周园π.岩土边坡稳定性预报的人工神经网络方法[J].岩土力学,2003(Z2). |
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| 作者姓名： | 何翔 李守巨 刘迎曦 周园π |
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| 作者单位： | 大连理工大学工业装备结构分析国家重点实验室 辽宁大连116024
(何翔，李守巨，刘迎曦)，大连理工大学工业装备结构分析国家重点实验室 辽宁大连116024(周园π) |
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| 基金项目： | 国家自然科学基金(编号:10072014)，高校博士点基金资助项目。 |
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| 摘 要： | 阐述了经典边坡稳定分析方法的局限性,综合考虑了影响边坡稳定性的因素,建立基于人工神经网络的边坡稳定性预报方法。采用遗传算法优化神经网络的结构,以提高其非线性映射能力和泛化能力,从而,提高预报准确度。基于已有的工程实例训练所建立的神经网络,并对新的边坡稳定性问题进行了预报,预报结果表明,所建立的边坡稳定性预报方法具有较高的预报准确度。
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| 关 键 词： | 边坡稳定 神经网络 遗传算法 全局优化 |
Analyzing method of rock slope stability based on artificial neural network |
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| HE Xiang,LI Shou-ju,LIU Ying-xi,ZHOU Yuan-pai.Analyzing method of rock slope stability based on artificial neural network[J].Rock and Soil Mechanics,2003(Z2). |
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| Authors: | HE Xiang LI Shou-ju LIU Ying-xi ZHOU Yuan-pai |
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| Abstract: | Limitations of the classic method of the analyzing of the slop stability are analyzed. With the consideration of the influencing factors of the stability of the slop, the analyzing method based on the artificial neural network is introduced. Genetic algorithm is adopted here to optimize the structure of the neural network so that the neural network will have super nonlinear mapping ability and generative ability, consequently, the accuracy of the analyzing will improved. Numerical example illustrates that the newly introduced method based the artificial neural network can provide more accurate analyzing results. |
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| Keywords: | slop stability artificial neural network genetic algorithm global optimum |
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