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Novel grey model for predicting casualties of strong earthquakes erupting in high population density areas

机译:预测高人口密度区域爆发强震伤亡人员的新型灰色模型

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Being able to forecast time series accurately has been quite a popular subject for researchers both in the past and at present. Aiming at the problem of predicting time series of casualties of strong earthquakes erupting in high population density areas, considering the characteristics of time series of casualties from these emergencies disaster systems, on the basis of existing research results on grey forecasting models, this paper proposes a novel grey forecasting model. The accuracies of different grey models such as GM (1, 1) model, DGM (1, 1) model, novel grey model using casualties time series is investigated. The performances of the different grey models are compared. The simulation results show the novel grey model has the highest performances on model forecasting.
机译:能够准确地预测时间序列对过去和目前的研究人员来说是一个非常受欢迎的主题。旨在预测高人口密度区域爆发强大地震伤亡人数的问题,考虑到这些紧急情况灾害系统的时间段的特点,在现有的灰色预测模型的基础上,本文提出了一个新型灰色预测模型。研究了不同灰色型号,如GM(1,1)模型,DGM(1,1)模型,使用伤亡时间序列的新型灰色模型等灰度模型。比较了不同灰色模型的性能。仿真结果表明,新颖的灰色模型对模型预测表现最高。

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