神经网络融合算法在摩托车防盗报警器中的应用  

Application of Neural Network Fusion Algorithm in the Theft-protection and Alarm Device on Motorcycle

作　　者：徐春辉[1] 

机构地区：[1]华东交通大学电气与电子工程学院,南昌330013

出　　处：《科技广场》2006年第5期80-81,共2页Science Mosaic

摘　　要：为了防止摩托车被盗,不少车主给自己的爱车安装了防盗报警器。然而,一般的防盗报警器大多只使用单一的传感器,单个传感器不能为防盗的决策提供准确的依据,极易产生漏报误报。本文提出利用多传感器建立摩托车防盗报警器,该方案运用多传感器融合技术,采用神经网络技术进行信息融合,对盗窃信息进行多方面地监测,从而获得较为可靠的信息,使得防盗报警系统的可靠性得到大大提高。Many motorcycle have been fixed the theft-protection and alarm device for fear of stolen.Generally,only one sensor is used in the theft-protection and alarm device.This cannot provide enough information for the decision-making of theft-protection and miss-operation can easily happen.In the paper,multi-sensors are chosen to establish the theft-protection system of motorcycle and multi-sensor fusion technology is employed and neural-network technology is used to fuse information.Therefore,the information on theft can be multi-dimensionally monitored and reliable information can be obtained so as to improve the reliability of the theft-protection and alarm device greatly.

关 键 词：防盗报警 多传感器 信息融合 神经网络 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]