软件导刊Issue(6)：77-79,3.
神经网络在智能公交实时调度中的设计与实现
Design and Implementation of Neural Network in the Real-time Scheduling of Intelligent Transportation
摘要
Abstract
Neural network is a new new kind of mathematical modeling method ,it has characteristic of identifying complex non-linear system ,and is suitable for real-time scheduling .Join error back propagation algorithm into intelligent transpor-tation real-time scheduling ,using its superior learning ability and generalization ability ,through learning the history of mass transit scheduling data ,can establish the forecast model of bus arrival at the site .Through real-time GPS data ,can predict the approximate time the vehicle reaches the destination ,providing great convenience for the establishment of in-telligent transportation scheduling .关键词
BP神经网络/智能公交/实时调度Key words
BP Neural Network/Intelligent Transportation/Real-time Scheduling分类
信息技术与安全科学引用本文复制引用
杨健兵..神经网络在智能公交实时调度中的设计与实现[J].软件导刊,2014,(6):77-79,3.基金项目
南通市科技项目 （）
