Based on the introduction to neural network principle, two methods of solving free train schedule and traffic flow prediction in transportation system with neural network are analyzed.
在简要介绍神经网络原理的基础上，分析了采用神经网络解决交通系统中空车调度及交通流预测的原理及方法。
This supposes that the train will arrive on schedule, or that the street-car will not jump the track.
这一点的必须条件是火车会准时达到，或电车不会出轨。
The Train Schedule Information Query System run in mobile that is a practicability system based on the IDCQ. Its query accuracy is 96.70%.
基于IDCQ，构建了一个应用于手机短信信息查询的实用性系统，列车时刻信息查询系统，查询正确率在96.70%。
The Train Schedule Information Query System run in mobile that is a practicability system based on the IDCQ. Its query accuracy is 96.70%.
基于IDCQ，构建了一个应用于手机短信信息查询的实用性系统，列车时刻信息查询系统，查询正确率在96.70%。
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