基于反向传播神经网络的无线火灾预警系统OACSTPCD
Fire disaster wireless early warning system based on BP neural network
针对传统火灾预警系统中单一传感器数据检测的缺陷,提出一种基于反向传播神经网络模型的无线多传感信息融合火灾预警系统.该模型借助Matlab平台进行信息融合算法模拟,并经过试验验证,大大提高了火灾预警系统的准确率和可靠性.
Aiming at the deficiency of mono-sensor detection in conventional fire disaster early warning system, a wireless multi-sensor information fusion fireproofing system based on BP neural network model is put forward. The simulation of the information fusion algorithm is performed by the model and Matlab. It was verified through test. The accuracy rate and reliability of fire disaster early warning system were improved greatly.
吕利昌;郭向勇;傅国强
深圳职业技术学院,广东深圳518055深圳职业技术学院,广东深圳518055深圳职业技术学院,广东深圳518055
信息技术与安全科学
反向传播神经网络信息融合ZigBee火灾预警
BP neural network information fusion ZigBee fire disaster early warning
《现代电子技术》 2012 (13)
53-55,3
深圳市科技计划项目"多传感器信息融合的可视化远程集控系统"(06KJh041)
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