摘要
文章应用混沌方法对交通事故损失时间序列进行处理,计算出最大Lyapunov指数,得到最大可预报时间尺度,在此基础上,建立人工神经网络预测混沌时间序列的模型。最后运用该方法对我国交通事故损失进行了预测分析。
The fuzzy method is applied to analyze the data of traffic accident loss which is observed by time sequel, and the largest Lyapunov exponent is calculated. On this basis, the method of forecasting time sequence with artificial neural network is presented. And this method is applied to analyze forecast in our country traffic accident loss.
出处
《山西科技》
2006年第2期97-98,101,共3页
Shanxi Science and Technology
关键词
混沌神经网络
交通事故
损失预测
fuzzy nerve network
traffic accident
loss prediction