摘要
构建了混沌神经网络,并对高速铁路安全风险要素进行分析.利用历史数据对该方法进行了验证,结果证明混沌神经网络对高速铁路安全风险预测具有较好的适用性.
A chaotic neural network is constructed,and the factors on high speed railway safety risk are analyzed. Finally,this method is verifies using historical data. The result shows that the chaotic neural network has better applicability to predict the risk of high-speed railway.
出处
《大连交通大学学报》
CAS
2015年第S1期88-91,共4页
Journal of Dalian Jiaotong University
关键词
高速铁路
安全风险预测
混沌神经网络
high-speed railway
safety risk prediction
chaotic neural network
