【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。更多还原

【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.更多还原