| 边坡稳定性的CPSO-BP模型研究 |
| |
| 引用本文： | 胡 军,董建华,王凯凯,黄贵臣.边坡稳定性的CPSO-BP模型研究[J].岩土力学,2016,37(Z1):577-582. |
| |
| 作者姓名： | 胡 军 董建华 王凯凯 黄贵臣 |
| |
| 作者单位： | 1. 辽宁科技大学 土木工程学院，辽宁 鞍山 114051；2. 鞍钢集团 大孤山球团厂，辽宁 鞍山 114046 |
| |
| 基金项目： | 国家自然科学基金（No.51274053）。 |
| |
| 摘 要： | 为了分析边坡的稳定性，利用协调粒子群算法和BP网络建立了边坡稳定性CPSO-BP预测模型。BP网络能够很好地描述边坡稳定性与其影响因素之间复杂的非线性关系，将内摩擦角、边坡角、岩石重度、边坡高度、黏聚力、孔隙压力比6个主要影响因素作为网络的输入，将边坡稳定性系数作为网络的输出。为避免BP网络陷入局部最优，利用协调粒子群算法的全局优化能力确定BP网络的连接权值和阀值，使BP网络的优势得到分发挥，达到提高模型预测精度目的。实例表明CPSO-BP模型有更好地预测精度以及将其应用于边坡稳定性预测是可行的。
|
| 关 键 词： | 粒子群算法 协调 BP神经网络 边坡 稳定性评价 |
| 收稿时间： | 2015-04-26 |
Research on CPSO-BP model of slope stability |
| |
| HU Jun,DONG Jian-hua,WANG Kai-kai,HUANG Gui-chen.Research on CPSO-BP model of slope stability[J].Rock and Soil Mechanics,2016,37(Z1):577-582. |
| |
| Authors: | HU Jun DONG Jian-hua WANG Kai-kai HUANG Gui-chen |
| |
| Institution: | 1. College of Civil Engineering, Liaoning University of Science and Technology, Anshan, Liaoning 114051, China;
2. Dagushan Pellet Plant, Anshan Iron and Steel Group Corporation, Anshan, Liaoning 114046, China |
| |
| Abstract: | In order to analyze the stability of slopes, by using coordinated particle swarm optimization(CPSO) and BP neural network, a CPSO-BP model is built to predict slope stability. BP neural network can describe the complex nonlinear relationship between the slope stability and its influential factors; six main influential factors, i.e. internal friction angle, slope angle, unit weight of rock, slope height, cohesion and pore pressure ratio, as a network input, the network output is the slope stability factor. BP neural network is so easy to fall into local optimum that take advantage of coordinated particle swarm optimization algorithm the ability of global to determine BP neural network connection weights and thresholds, let the advantages of BP neural network can fully play. Frinally we will approach to the aim that improving the accuracy of model predictions. Case study shows that the CPSO-BP model has better prediction accuracy and it is feasible to predict the slope stability. |
| |
| Keywords: | particle swarm optimization(PSO) coordination BP neural network slope stability evaluation |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《岩土力学》浏览原始摘要信息 |
| 点击此处可从《岩土力学》下载免费的PDF全文 |
|
