摘要
介绍一种预测性模糊逻辑列车自动运行控制系统．在此基础上提出了几种采用神经网络的模糊逻辑列车自动运行控制系统的新方案．这可大大改善列车自动运行控制系统的性能，从而实现列车自动运行的智能控制．
A predictive fuzzy logic automatic train operation control system(ATO system) is introduced first. Based on this,architectures of neural fuzzy logic ATO systems are proposed.The features of ATO system can be dramatically improved and intelligent control can be realized.
基金
铁道部科学基金
上海市自然科学基金
关键词
模糊逻辑
神经网络
列车运行
自动控制
fuzzy logic
neural networks
automatic train operation control systems
adaptive control
artificial intelligence control.
