详细信息
基于智能关联微粒挖掘的交通事故责任判断方法
Based on the Intelligence of Mining Association Particles Traffic Accident Liability Judge Method
文献类型:期刊文献
中文题名:基于智能关联微粒挖掘的交通事故责任判断方法
英文题名:Based on the Intelligence of Mining Association Particles Traffic Accident Liability Judge Method
作者:魏红娟[1]
第一作者:魏红娟
机构:[1]新乡学院计算机与信息工程学院
第一机构:新乡学院计算机与信息工程学院
年份:2012
卷号:28
期号:12
起止页码:149-151
中文期刊名:科技通报
外文期刊名:Bulletin of Science and Technology
收录:CSTPCD;;北大核心:【北大核心2011】;
基金:河南省科技厅项目(122102210450)
语种:中文
中文关键词:智能微粒群;关联规则;粒子变异;交通事故;数据挖掘
外文关键词:particle swarm intelligence; association rules; particle variation; traffic accident; data mining
摘要:道路交通事故的发生原因是多方面的,实际的交通事故存在潜在的规律性,挖掘这种潜在的规律可以更好地改善交通事故现状。提出一种基于智能微粒群的交通事故成因关联挖掘的方法,通过实际的交通事故发生时现场数据对粒子进行编码,使用后代繁殖变异的方法对粒子进行更新,设置支持度与置信度构造优化的目标函数寻找符合的粒子做为挖掘的规则。实验仿真结果证明,本文的算法能够对交通事故的数据进行合理建模,对实际的人工调控交通有很好的指导意义。
Road traffic accident reason is various, the actual traffic accident potentially regularity, and mining the poten- tial law can better improve traffic accident situation. Is proposed based on a particle swarm intelligence of the traffic ac- cident causes associated mining method, through the actual traffic accident happened to particles on data coding, use the method of offspring breeding variation of particle to update and set up support for the confidence and the optimization of the structure of the objective function looking for particle as a mining rules. The experiment the simulation results show that this algorithm can for the traffic accident on the reasonable data modeling, artificial regulation to the actual traffic has a good guide.
参考文献:
正在载入数据...