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基于BP神经网络的停车引导系统设计
引用本文:朱一多,商林.基于BP神经网络的停车引导系统设计[J].武汉职业技术学院学报,2010,9(5):83-85.
作者姓名:朱一多  商林
作者单位:武汉交通职业学院,湖北武汉430065
摘    要:一个先进的停车引导系统对解决城市交通拥堵,建设现代化大都市具有重要意义。在现有的实时停车引导系统的基础上,提出了采用BP神经网络算法对泊位信息进行科学预测,并通过实验论证了该预测算法的正确性,很大程度的提高了系统的可靠性。着重论述了停车引导系统的软件实现,系统的软件由数据采集、数据传输、数据发布和数据处理4个部分组成。

关 键 词:停车引导  WINCE  BP算法

Design of Parking Guidance System Based on BP Neural Network
ZHU Yi-duo,SHANG Lin.Design of Parking Guidance System Based on BP Neural Network[J].Journal of Wuhan Institute of Technology,2010,9(5):83-85.
Authors:ZHU Yi-duo  SHANG Lin
Institution:(Wuhan Technical College of Communications,Wuhan 430065,China)
Abstract:It is essential to research an advanced Parking guidance for solving the city traffic congestion and Building a modern metropolis.In this article,BP Neural Networks Algorithm is used to forecast the Berth information in existing Real-time Parking Guidance System.Experiments are made to confirm the accuracy of prediction algorithms which can greatly increased system reliability.This article focuses on the software of parking guidance which is made of information collection module,messaging module,data processing and release module.
Keywords:parking guidance  WINCE  BP algorithm
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