：根据公交站点客流集散量，选用合适的ＢＰ神经网络构建公交车辆调度形式的神经网络预报

模型．运用ＢＰ神经网络Ｍａｔｌａｂ工具箱设计的基本方法与过程，将ＢＰ网络模型引入公交车辆的调

度方案研究，计算结果表明，ＢＰ模型应用于公交车辆调度形式预测中具有较高的预测精度和良好

的泛化能力-according to the bus station passenger flow distribution quantity, choose suitable BP neural network construct public transport vehicle scheduling form of neural network prediction



Model. Using BP neural network Matlab toolbox basic design method and process, the BP network model of bus into the adjustment



Degree plan research, the calculation results show that the BP model is applied to public transport vehicle scheduling form prediction is of high precision and good



The generalization ability of the