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为进一步研究新型城镇化进程与消防安全的内在关联性,在前期研究基础上,本文以河北省石家庄市和承德市为研究对象,对新型城镇化指标和消防安全指标做相关性分析,筛选出相关性较强的6个新型城镇化指标和2个消防安全指标,对两者间相关的内在原因和机理做了深入的分析。分别用多元线性回归法和神经网络法对两类指标的定量关系做拟合,比较两种方法的预测精确度,结果显示神经网络的预测误差更小。
In order to further study the inherent relationship between the new urbanization process and fire safety, based on the previous studies, this paper takes Shijiazhuang City and Chengde City of Hebei Province as the research objects, and makes a correlation analysis of the new urbanization indicators and fire safety indicators, 6 new types of urbanization indicators and 2 fire safety indicators that are highly relevant have done an in-depth analysis of the related internal causes and mechanisms. Multivariate linear regression and neural network were used to fit the quantitative relationship between the two indexes respectively. The prediction accuracy of the two methods was compared. The results showed that the prediction error of neural network was smaller.