提出了一种以神经网络为主 ,并综合使用模糊系统、遗传算法等方法的集成型地铁列车智能控制方法。分别采用模糊控制的 BP网络和基于遗传算法的模糊神经网络 ,实行了站间运行控制和定位停车控制 ,仿真取得了令人满意的结果。结果表明 ,将神经网络等计算智能方法综合用于列车运行控制是可行的 ,可以保证较好的舒适性、停车准确性 ,具有精度高 ,适应性、鲁棒性强等特点。 An intelligent control method of integrated metro train based on neural network and integrated fuzzy system and genetic algorithm is proposed. The BP neural network with fuzzy control and the fuzzy neural network based on genetic algorithm are respectively used to implement the control and positioning and parking control between stations. The simulation results show satisfactory results. The results show that it is feasible to use the computational intelligence method such as neural network in train operation control, which can ensure good comfort and parking accuracy, and has the characteristics of high precision, adaptability and robustness.