摘要
借助时间序列分析的思想采用RBF神经网络针对特定铁路客车沿线建立了全年的逐时气象参数(温度与太阳辐射)模型。为铁路客车运行过程性能研究和能耗仿真研究提供了基础。
By the mean of the main idea of time series analysis and radical basis function artificial neural net, in accordance with the express passenger train (T), meteorological data model (temperature and sun radiation) out of railway carriage for passenger train along the railway line is built hour by hour. This model provides a good basis for the passenger train performance of whole journey's study and energy consuming simulation.
出处
《铁道机车车辆》
2007年第5期21-23,共3页
Railway Locomotive & Car
关键词
铁路客车
时间序列分析
RBF神经网络
气象参数
passenger train
time series analysis
radical basis function artificial neural net
meteorological data