论文部分内容阅读
与犯罪率相关的因素众多,以浙江省为例,城市化率、失业率、客运量等相关指标均与犯罪率呈现出显著的正相关。借助于计算机运算环境,采用多项式拟合与插值及MATLAB仿真下的实测,可建立起动态的犯罪率预测问题数学模型,其模型的优化及残差控制可依托MATLAB仿真平台高效实现,可对不同相关度的犯罪因素进行定量分析,并可获得不同时期更为准确的犯罪率,是刑事政策制定的有益参考。
There are many factors related to the crime rate. Taking Zhejiang Province as an example, the relevant indicators such as urbanization rate, unemployment rate and passenger traffic have a significant positive correlation with the crime rate. With the aid of computer operating environment, polynomial fitting and interpolation and MATLAB simulation can be used to establish a mathematical model of predicting the crime rate. The model optimization and residual control can be efficiently implemented by using MATLAB simulation platform. Relevance of the crime of quantitative analysis, and access to more accurate crime rates in different periods, is a useful reference for criminal policy making.