基于最小二乘支持向量机的地震安全社区经济评价研究

Research on Community Economic Evaluation of Earthquake Safety Based on LS-SVM

近几年地震频繁发生,为有效预防地震灾害,我国对防震减灾工作越来越重视,大力推进地震安全社区的建设,同时,对地震安全社区的经济性评价也要求更科学、客观和准确。首先对地震安全社区经济指标进行了分析,建立了地震安全社区经济评价指标体系。为提高经济评价的精确性,避免评价过程中的主观性,选择采用粒子群优化最小二乘支持向量机(PSO-LS-SVM)模型对地震安全社区进行经济评价,建立了评价模型。实证分析表明,该模型的评价结果与地震安全社区实际经济情况极为接近,可用于地震安全社区的经济评价。

In recent years,earthquakes occur frequently.In order to prevent earthquake disasters effectively,our country pays more and more attention to earthquake prevention and disaster reduction,and vigorously promotes the construction of earthquake safety community.At the same time,the economic evaluation of earthquake safety community also requires more scientific,objective and accurate.Therefore,this paper first analyzes the seismic safety community economic indicators,and establishes the index system of earthquake safety community economic evaluation.In order to improve the accuracy of economic evaluation and avoid subjectivity in the evaluation process,this paper selects the PSO-LS-SVM(least squares support vector machine)model for the economic evaluation of the earthquake safety community,and establishes an evaluation model.The empirical analysis shows that the evaluation results of the model are very close to the actual economic situation of the earthquake safety community,and can be applied to the economic evaluation of the earthquake safety community.