| 基于PSO和LSSVM的边坡稳定性评价方法 |
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| 引用本文： | 马文涛.基于PSO和LSSVM的边坡稳定性评价方法[J].岩土力学,2009,30(3):845-848. |
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| 作者姓名： | 马文涛 |
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| 作者单位： | 宁夏大学数学计算机学院,银川,750021 |
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| 基金项目： | 教育部新世纪优秀人才支持计划，宁夏自然科学基金，宁夏大学自然科学基金 |
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| 摘 要： | 提出了基于粒子群算法（PSO）和最小二乘支持向量机（LSSVM）的边坡稳定性评价方法。该模型既利用了最小二乘支持向量机求解速度快、易于描述非线性关系的优良特性，同时也利用了粒子群算法快速全局优化的特点。粒子群算法用于搜索最小二乘支持向量机模型的最优参数，然后将模型用于预测边坡的安全系数。计算结果表明，该方法是合理的、有效的。
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| 关 键 词： | 边坡稳定性评价 粒子群算法 最小二乘支持向量机 参数优化 |
| 收稿时间： | 2007-06-04 |
Evaluation of rock slope stability based on PSO and LSSVM |
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| MA Wen-tao.Evaluation of rock slope stability based on PSO and LSSVM[J].Rock and Soil Mechanics,2009,30(3):845-848. |
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| Authors: | MA Wen-tao |
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| Institution: | School of Mathematics & Computer Science, Ningxia University, Yinchuan 750021, China |
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| Abstract: | A slope stability evaluation method based on particle swarm optimization (PSO) and least square support vector machine (LSSVM) is proposed. The method not only has the excellent characteristics of solving speed fast and describing nonlinear relationship easily of LSSVM, but also has the characteristic of fast global optimization of PSO. PSO is used to search the optimum parameters of LSSVM; then the optimal model is applied to predict the slope safety factor. The results show that the method is reasonable and feasible. |
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| Keywords: | slope stability evaluation particle swarm optimization least square support vector machine parameter optimization |
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