【摘要】 为了有效避免交通事故对社会所产生的危害,采用小波理论中的Mallat算法和BP神经网络方法对交通事故进行预测。本文选取某省从2002年至2016年的交通事故发生情况为实验研究对象,并分4个时间段分别进行预测分析。实验结果分析表明:本文采用的预测方法与BP神经网络预测方法相比较,在预测精度方面有了较大的提高。更多还原

【Abstract】 In order to effectively reduce the rate of traffic accident,the Mallat of wavelet transform and BP neural network are applied to the study of traffic accident prediction. In this paper,the traffic accident occurrence of a province from 2002 to 2016 is taken as the object of experimental research,and the prediction analysis is separately carried out in 4 time segments. The analysis of results reveals that,compared with BP neural network direct prediction method,the one adopted in this paper has a greater improvement in prediction accuracy.更多还原