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道路交通事故的神经网络预测方法研究
引用本文:韩文涛,刘明琴.道路交通事故的神经网络预测方法研究[J].交通科技与经济,2004,6(6):58-59.
作者姓名:韩文涛  刘明琴
作者单位:西安武警工程学院军运系车船教研室,陕西,西安,710086
摘    要:指出了预测对道路交通安全性的重要意义以及传统预测方法存在的缺陷;运用神经网络建立时间序列的道路交通事故预测方法,克服了传统预测方法必须事先构造函数的不足之处。分析表明, 该方法的预测精度较高。

关 键 词:道路交通事故  神经网络  预测方法
文章编号:1008-5696-(2004)06-0058-02
修稿时间:2004年3月21日

Study on the predicting method of road traffic accident based on neural network
HAN Wen-tao,LIU Ming-qin.Study on the predicting method of road traffic accident based on neural network[J].Technology & Economy in Areas of Communications,2004,6(6):58-59.
Authors:HAN Wen-tao  LIU Ming-qin
Abstract:The importance of road traffic accident prediction is described and the shortcomings of traditional predicting methods are discussed. The road traffic accident predicting model of time sequence based on neural network is established. The model could overcome the shortcomings of the traditional predicting methods and is needless to determine the special function beforehand. Therefore, the accuracy of the prediction is improved. Utilizing the model will be provided significant of theory guiding and volumes of practice.
Keywords:road traffic accident  neural network  predicting method
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