[1] Samardjieva E, Oike K.Modeling the number of casualties from earthquake[J].Journal of Natural Disaster Science, 1992,14( 1) : 17-28.[2] Lomnitz C.Casualties and behavior of populati-ons during the earthquakes[J].Bulletin of the Seismologic Socilty of America, 1970,60(4):1309-1313.[3] Tsai,et al.Spatial distribution and age dependence of human-fatality rates from the Chi-chi.Taiwan[J].Bulletin of the Seismological Societv of America,2001,91(5):1298-1309.[4] 高惠英,李青霞.地震人员伤亡快速评估模型研究[J].灾害学,2010,25(1):275-277.[5] 马玉宏,谢礼立.关于地震人员伤亡因素探讨[J].自然灾害学报.2000,9(3):84-90.[6] 张洁,高惠英,刘琦.基于汶川地震的地震人员伤亡预测模型研究[J].中国安全科学学报,2011,21(3):59-64.[7] 施伟华,陈坤华,谢英情,等.云南地震灾害人员伤亡预测方法研究[J].地震研究,2012,35(3): 387-392.[8] 傅征祥,李革平. 地震生命损失研究[M].北京: 地震出版社,1993.[9] Murakami H O. A simulation model to estimate human loss for occupants building in an earthquake [C]//Proeeding of the Tenth World Conference on Earthquake Engineering,Madrid,Spain,July 19-24,1992.[10] 刘金龙,林均歧.基于震中烈度的地震人员伤亡评估方法研究[J].自然灾害学报,2012,21(5):113-119.[11] 钱枫林.BP神经网络预测模型在应急物资需求中的应用——以地震伤亡人数预测为例[J].中国安全科学学报,2013,23(4):20-25.[12] 何明哲,周文松.基于地震损伤指数的地震人员伤亡预测方法[J].哈尔滨工业大学学报,2011,43(4):23-27.[13] 田鑫,朱冉冉.基于主成分分析及BP神经网络分析的地震人员伤亡预测模型[J].西北地震学报,2012,34(4):265-368.[14] 吴恒景,冯铁男,洪中华,等.基于遥感图像的地震人员伤亡预测模型[J].同济大学学报(医学版),2013,34(5):36-39.[15] Okada S, Indoor-zoning map on dwelling space safety during an earthquake[C]//Proceedings of the Tenth World Conference on Earthquake Engineering, Madrid.Spain,July 19-24,1992.[16] 王斌,施祖见,匡蕾.基于改进KFDA和RWv-SVM的化工生产系统故障快速诊断[J].中国安全科学学报,2013,23(8):84-89.[17] 张宏伟,朱自洁,宋卫华,等.基于改进的FOA-SVM导水裂隙带高度预测研究[J].中国安全科学学报,2013,23(10):9-14.[18] 周建平,郑应平,王志萍.基于Morlet小波核多类支持向量机的故障诊断[J].华东电力, 2008, 36(8):952-955.[19] 刘俊娥,安凤平,林大超,等.采煤工作面瓦斯涌出量的固有模态SVM建模预测[J].系统工程理论与实践,2013,33(2):505-511.[20] 刁翠霞,陈思凤,刘业政.就与SVM求解不均衡数据集分类的主观权重约束方法[J].管理科学学报,2012,26(3):146-150.[21] 张玲,陈涛,黄钧.基于最小最大后悔值的应急救援网络鲁棒优化模型与算法[J].中国管理科学,2014,22(7):131-139.[22] Wu Qi, Yan Hongsen,Yang Hongbing. A hybrid forecasting model based on chaotic mapping and improved support vector machine[C]//Proceedings of the 9th International Conference for Yong Computer Scientists. Hunan,China,November 18-21,2008.[23] Rossi F, Villab N. Support vector machine for functional data classification [J]. Neuron Computing, 2006, 69(7-9):730-742. |