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基于SVC参数优化的地震次生地质灾害危险性评价
引用本文:王威,苏经宇,马东辉,郭小东,王志涛.基于SVC参数优化的地震次生地质灾害危险性评价[J].北京工业大学学报,2012,38(10):1498-1503.
作者姓名:王威  苏经宇  马东辉  郭小东  王志涛
作者单位:1. 北京工业大学抗震减灾研究所,北京,100124
2. 北京工业大学抗震减灾研究所,北京100124 北京工业大学建筑与城市规划学院,北京100124
基金项目:国家十二五科技支撑计划资助项目,中国博士后科学基金资助项目
摘    要:针对地震次生地质灾害危险性评价影响因素的复杂性和多变性的特点,提出了基于GA、PSO和K-CV三种优化支持向量分类机参数的地震次生地质灾害危险性评价方法.该方法既利用了支持向量分类机求解速度快、易于描述非线性关系的优良特性,同时利用了GA、K-CV和PSO算法快速优化的特点,可实现支持向量分类机模型参数的自动化优选,具有收敛速度快、精度高的特点.将该模型用于地震次生地质灾害危险性评价,计算结果验证了该方法的有效性。

关 键 词:地震  次生地质灾害  危险性评价  支持向量分类机

Risk Degree of Earthquake Secondary Geological Hazards Evaluation Method Based on Parameters Optimization of SVC
WANG Wei,SU Jing-yu,MA Dong-hui,GUO Xiao-dong,WANG Zhi-tao.Risk Degree of Earthquake Secondary Geological Hazards Evaluation Method Based on Parameters Optimization of SVC[J].Journal of Beijing Polytechnic University,2012,38(10):1498-1503.
Authors:WANG Wei  SU Jing-yu  MA Dong-hui  GUO Xiao-dong  WANG Zhi-tao
Affiliation:1,2(1.Institute of Earthquake Resistance and Disaster Reduction,Beijing University of Technology,Beijing 100124,China; 2.College of Architecture and Urban Planning,Beijing University of Technology,Beijing 100124,China)
Abstract:According to the characteristics of the complexity and variability of factors,a risk degree of earthquake secondary geological hazards evaluation method was proposed based on GA、PSO and K-CV optimized parameters of support vector classification.The method not only has the excellent characteristics of fast solving speed and describing nonlinear relationship of SVC easily,but also has the characteristic of fast optimization.GA、PSO and K-CV were used to search the optimum parameters of SVC,then the optimal model was applied to evaluate the risk degree of earthquake secondary geological hazards.The results show that the method is reasonable and feasible.
Keywords:earthquake  secondary geological hazards  risk degree evaluation  support vector classification
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